| Title | Venue | Date | Link | |
|---|---|---|---|---|
| Keynote | AI Snake Oil fireside chat | Privacy + Security forum | Oct 24, 2024 | |
| Is Generative AI Actually As Good As We’ve Been Told? (Panel) | WSJ CIO Network Summit | Oct 8, 2024 | ||
| Keynote | Leakage and the reproducibility crisis in ML-based science | Frontiers in Machine Learning and Economics | Oct 19, 2024 | |
| Two computer scientists debunk AI hype | Factually! Adam Conover podcast | October 2024 | Video | |
| Science for policy and policy for science | CITP lunch seminar | Sep 10, 2024 | Abstract | |
| Keynote | 12 challenges for trust and safety | Stanford Trust and Safety Research Conference | Sep 27, 2024 | |
| Overcoming pitfalls in the use of machine learning in science | Food and Drug Administration | Sep 13, 2024 | ||
| AI Snake Oil book talk: Demystifying Artificial Intelligence | Ford Foundation | Sep 18, 2024 | ||
| AI Foundations for Decision Makers | General Services Administration AI Training (about 7,500 participants across government) | Sep 12, 2024 | ||
| Named lecture | How to think about AI and existential risk | Susan and James Wright Lecture, Dartmouth College | July 22, 2024 | |
| AI safety is not a model property | National AI Advisory Council Public Briefing Session | March 5, 2024 | ||
| Distinguished Lecture | The reproducibility crisis in machine learning based science | UCLA ECE Distinguished seminar series | Nov 27, 2023 | |
| Keynote | AI for law: Freight train or hype train? | World Intellectual Property Organization Judges Forum | Nov 15, 2023 | |
| AI for law: Freight train or hype train? | Harvard Journal of Law and Technology speaker series | Nov 15, 2023 | ||
| Distinguished Lecture | The Reproducibility Crisis in Machine Learning-based Science | Hariri Institute Distinguished Lecture | Nov 3, 2023 | Abstract |
| Congressional forum | The urgent need for accountability in predictive AI | US Senate AI ‘Insight Forum’ | Nov 1, 2023 | Written statement |
| Resistance or harm reduction? | Schwartz Reisman Institute | Oct 25, 2023 | Abstract Video | |
| Generative AI — Past, Present, and Future | Princeton Adult School | Oct 24, 2023 | ||
| Is misinformation a technology problem? | Princeton Institute for International and Regional Studies | Oct 12, 2023 | ||
| The reproducibility crisis in machine-learning-based science | Princeton Precision Health Fall Symposium | Sep 29, 2023 | ||
| Evaluating LLMs is a minefield | Princeton Language and Intelligence Launch Event | Sep 26, 2023 | Annotated slides | |
| An overview of generative AI risks | United Nations Risk Management Forum | Jun 28, 2023 | ||
| Preparing for the generative AI deluge | OECD expert group meeting | Jun 15, 2023 | ||
| Keynote | "Bias bias", and other biases | European Workshop on Algorithmic Fairness | Jun 7, 2023 | |
| The long road to generative AI | The Omidyar Group Generative AI Gathering | June 3, 2023 | ||
| Resistance or harm reduction? | Real ML workshop | May 31, 2023 | Abstract Video | |
| Preparing for the deluge of generative AI | Information Integrity Funders Meeting, Aspen Institute | May 25, 2023 | ||
| Generative AI: The Good, The Bad and the Precarious Edges | Princeton Reunions 2023 | May 26, 2023 | ||
| The long road to generative AI | MacArthur Foundation | May 8, 2023 | ||
| Confused by All the Chatter? Journalists, Researchers & Policymakers Talk Chatbots and Other Large Language Models | CITP Special Event | May 4, 2023 | Video | |
| Book Talk: AI Snake Oil | Knight First Amendment Institute Research Seminar | Apr 12, 2023 | ||
| Teaching and Learning Now: ChatGPT (Panel) | McGraw center for teaching and learning, Princeton | Feb 09, 2023 | Details | |
| Named lecture (comment) | Comment on "Communicative Justice and the Distribution of Attention" | Tanner Lecture: AI and Human Values with Seth Lazar, Stanford University | Jan 25, 2023 | Abstract and video |
| Ten things I've learned about data privacy | Privacy Seminar, Carnegie Mellon University | Nov 17, 2022 | Abstract | |
| Automated Decision-Making Systems (Panel) | Federal Trade Commission PrivacyCon | Nov 1, 2022 | Video | |
| Named lecture | The Limits Of The Quantitative Approach To Discrimination | James Baldwin lecture, Princeton University | Oct 11, 2022 | Transcript and video |
| Podcast | Seeing through AI hype | Reimagining the Internet podcast | Oct 5, 2022 | Audio |
| Keynote | Beyond ad filtering: ideas for user empowerment through the browser | Ad filtering dev summit | Oct 6, 2022 | |
| Workshop host | The Reproducibility Crisis in ML‑based Science | Princeton University workshop | Jul 28, 2022 | Video |
| Technology risks that could lead to a crypto collapse | Financial Stability Oversight Council Digital Assets Outreach Meeting | Jul 27, 2022 | ||
| Remarks on cryptocurrency energy consumption and e-waste | House Financial Services Committee briefing | Jun 24, 2022 | ||
| Understanding and comparing digital assets: a technology perspective | First Republic Bank lifelong learning workshop, Princeton University | Jun 6, 2022 | ||
| The gap between research and practice in authentication | University of Cambridge security seminar | May 3, 2022 |
Abstract Video | |
| Distinguished lecture | The Security Mindset and the World Beyond Security | Max Planck Institute for Software Systems | Mar 10, 2022 | Abstract |
| Keynote | How to recognize AI snake oil | Apple Machine Learning Summit: Fairness and Robustness track | Feb 10, 2022 | |
| The landscape of harms in AI research | Secretary’s Advisory Committee on Human Research Protections | July 21, 2021 | Video | |
| Keynote | The ethics of datasets: moving forward requires stepping back | ACM Conference on Artificial Intelligence, Ethics, and Society (AIES) | May 19, 2021 | Abstract and video |
| Is There a Filter Bubble on Social Media? A Call for Epistemic Humility | Workshop on Social Biases in Machine Learning and in Human Nature, Princeton University | Apr 22, 2021 | Video | |
| Named lecture | How to recognize AI snake oil | Ronald E. Hatcher Science On Saturday Lecture Series, Princeton | Jan 16, 2021 | Video |
| How to recognize AI snake oil | Center for Biomedical Informatics Research, Stanford | Oct 29, 2020 | Abstract | |
| Keynote panel | The Cryptographer's Panel | RSA Conference, San Francisco | Feb 25, 2020 | Video |
| Named lecture | How to recognize AI snake oil | Arthur Miller lecture on science and ethics, Massachusetts Institute of Technology | Nov 18, 2019 | Annotated slides |
| Responsible machine learning in the age of surveillance capitalism | Workshop on Social and Ethical Challenges in Machine Learning, Institute for Advanced Study, Princeton | Nov 6, 2019 | ||
| Dark patterns: Subverting consumer choice and consent | Tech Foundations for Congressional Staff, Georgetown Law, Washington DC | Aug 13, 2018 | ||
| New developments in genetic privacy | ||||
| Plenary | Lessons from privacy measurement | IETF 105, Montreal | Jul 24, 2019 | Video |
| Keynote | Data as a mirror of society: lessons from the emerging science of fairness in machine learning | 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis | Jun 3, 2019 | Abstract |
| The Role of technical standards for Human Rights (Panel) | Designing an Ethical Web workshop, San Francisco | May 17, 2019 | ||
| Identification of anonymous DNA via genealogical triangulation | RAIN seminar, Stanford | May 15, 2019 | ||
| FinTech and Money in the Digital Age (Panel) | American Financial Association 2019 Annual Meeting, Atlanta | Jan 5, 2019 | Video | |
| Survey of Algorithmic Game Theory Research Questions for Cryptocurrencies and Blockchains (with Matt Weinberg) | Becker Friedman Institute conference on Cryptocurrencies and Blockchains, Chicago | Nov 10, 2018 | ||
| The societal effects of technical systems: Case studies of privacy and fairness | University of Maryland iSchool, College Park MD | Oct 31, 2018 | Abstract | |
| Understanding Bitcoin / blockchain (panel) | National Academies Committee on Science, Technology, and Law meeting | Oct 10, 2018 | ||
| Data as a mirror of society: Lessons from the emerging science of fairness in machine learning | Quantitative Social Science Colloquium, Princeton | Sep 14, 2018 | Abstract | |
| Congressional testimony | Testimony on Energy Efficiency of Blockchain and Similar Technologies | U.S. Senate Committee on Energy & Natural Resources: Full Committee Hearing | Aug 21, 2018 |
Written testimony Video QfR & Errata |
| Algorithmic accountability: the science of fairness in machine learning | Tech Foundations for Congressional Staff, Georgetown Law, Washington DC | Aug 15, 2018 | ||
| The technology of privacy | ||||
| AI, bias, and fairness | AI4ALL, Princeton | Jul 31, 2018 | ||
| Making sense of cryptocurrencies and blockchains | Gartner Digital Leadership Academy 2018 | Jul 25, 2018 | ||
| The magic of modern cryptography | Program in Algorithmic and Combinatorial Thinking, Princeton | Jul 23, 2018 | ||
| Cryptocurrencies and incentives: from practice to theory | Tutorial on Incentives and Cryptocurrencies, Economics & Computation conference, Ithaca NY | Jun 19, 2018 | ||
| Blockchains: past, present, and future | PODS/SIGMOD tutorial, Houston TX | Jun 12, 2018 | Abstract | |
| Protecting users from intrusive tracking | Mozilla | May 23, 2018 | Video | |
| Data as a mirror of society: Lessons from the emerging science of bias in machine learning | Princeton Neuroscience Institute | Apr 12, 2018 | Abstract | |
| BlockSci: A high-performance tool for blockchain analytics | MIT Media Lab/DCI workshop | Mar 19, 2018 | ||
| BlockSci: A high-performance tool for blockchain analytics | MIT Bitcoin Expo | Mar 17, 2018 | Video | |
| Algorithmic bias: the hard problems | Columbia University | Mar 2, 2018 | Abstract and video | |
| Tutorial: 21 definitions of fairness and their politics | Conference on Fairness, Accountability, and Transparency, NYC | Feb 23, 2018 | Abstract and video | |
| The societal effects of technical systems: Case studies of privacy and fairness | MIT, Cambridge, MA | Feb 14, 2018 | Abstract Video | |
| Hiding in plain sight: Making sense of transactions on the blockchain | Bendheim Center for Finance, Princeton | Feb 8, 2018 | Video | |
| AI's implicit bias | MacArthur Foundation, Chicago | Jan 31, 2018 | ||
| The web tracking arms race: past, present, and future | USENIX Enigma 2018 | Jan 16, 2018 | Abstract and video | |
| New games, new markets: The science of cryptocurrencies and incentives | University of Washington | Jan 4, 2018 | Abstract and video | |
| How to make progress on AI fairness | CITP on the Road, National Press Club, Washington, D.C. | Dec 8, 2017 | ||
| Data as a Mirror of Society: Lessons from the Emerging Science of Bias in Machine Learning | University Center for Human Values, Princeton | Dec 5, 2017 | ||
| How anonymous are cryptocurrencies, really? | University of Illinois, Urbana-Champaign | Nov 28, 2017 | Abstract | |
| Ten things I've learnt about data privacy | BITAG meeting | Oct 25, 2017 | ||
| How to make progress on AI fairness | CITP AI Policy initiative launch event | Oct 19, 2017 | Video | |
| Cryptocurrencies and mechanism design | NYC Algorithmic Game Theory meetup | Sep 22, 2017 | ||
| How to think about de-anonymization risk | TTI/Vanguard conference, Washington D.C. | Sep 12, 2017 | ||
| Uncovering commercial surveillance on the web | Cornell University | Sep 5, 2017 | Video | |
| Online Tracking: A 1-million-site Measurement & Analysis | Cornell University | Sep 5, 2017 | ||
| Machine bias: surprises from recent research | Federal Trade Commission | Aug 21, 2017 | ||
| The future of ad blocking: framework and techniques | Center for Democracy & Technology | Jul 13, 2017 | ||
| Bias traps in AI (Panel) | AI Now Symposium, Cambridge MA | Jul 10, 2017 | Video | |
| Language contains human biases and so will machines trained on language corpora | Security & Human Behavior workshop, Cambridge UK | May 26, 2017 | ||
| The future of ad blocking | Future of Privacy Forum | May 16, 2017 | ||
| Cybersecurity | ExxonMobile longer-range research meeting | May 8, 2017 | ||
| Lessons for blockchains from the 150-year history of decentralization | Columbia University | Mar 24, 2017 | ||
| Online Tracking: A 1-million-site Measurement & Analysis | Harvard University | Feb 10, 2017 | ||
| On the Instability of Bitcoin Without the Block Reward | BPASE conference, Stanford | Jan 26, 2017 | Video | |
| Online Tracking: A 1-million-site Measurement & Analysis | Georgia Tech | Jan 20, 2017 | Video | |
| The future of ad blocking: analytical framework and new techniques | Northeastern University | Nov 29, 2016 | Abstract | |
| Language necessarily contains human biases, and so will machines trained on language corpora | Harvard Society for Mind, Brain, and Behavior Fall 2016 symposium | Nov 28, 2016 | ||
| Language necessarily contains human biases, and so will machines trained on language corpora | Fairness, Accountability, and Transparency in Machine Learning 2016 | Nov 18, 2016 | ||
| Language necessarily contains human biases, and so will machines trained on language corpora | University of Cambridge Computer Laboratory Security Seminar (remote talk) | Oct 11, 2016 | Abstract | |
| Language necessarily contains human biases, and so will machines trained on language corpora | Google Tech Talk | Sep 30, 2016 | ||
| Blockchains: technology, applications, limitations | International Bar Association Conference | Sep 20, 2016 | ||
| Language necessarily contains human biases, and so will machines trained on language corpora | Microsoft Research NYC | Sep 13, 2016 | ||
| Bitcoin and the blockchain: What are they? Will they reshape the world? | Philosophical Society of Washington | Sep 9, 2016 | Video | |
| Cryptocurrencies: the ideas behind the hype | National Science Foundation | Jul 21, 2016 | Video | |
| The future of smart contracts: the view from academia | Princeton Ethereum Meetup | Jul 13, 2016 | ||
| Keynote | Blockchains, the web, and standards: the big opportunity | Blockchains and the Web: a W3C workshop | Jun 29, 2016 | |
| ISPs and web privacy: insights from research | Ex-parte comments to the FCC | Jun 17, 2016 | ||
| OpenWPM: A tool for external oversight of web tracking | International Workshop on Privacy Engineering | May 26, 2016 | ||
| Lessons for Bitcoin from the 150-year history of decentralization | MIT Bitcoin Expo | Mar 05, 2016 | ||
| Why the Web Privacy Problem is a Transparency Problem | Innovation and the value of privacy, Columbia | Feb 05, 2016 | Video | |
| Securing Bitcoin wallets via threshold signatures | Stanford security seminar | Dec 4, 2015 | ||
| Better security and privacy hinges on better design | CS547 guest lecture, Stanford | Dec 4, 2015 | ||
| Bitcoin, game theory, and mechanism design: A research agenda | Economics and Computation program, Simons, Berkeley | Dec 3, 2015 | ||
| A new genetic re-identification method and implications for privacy | Big Privacy: Policy meets data science, U. Wisc. | Oct 15, 2015 | ||
| Web tracking and online privacy | Topics in digital media guest lecture, NYU | Oct 8, 2015 | ||
| Lessons from the history of cryptography | FRS 117 guest lecture, Princeton | Oct 1, 2015 | ||
| Machine learning and privacy: attacks and defenses | Microsoft faculty summit, Redmond WA | Jul 9, 2015 | ||
| A critique of US cybersecurity policy | Kern Medina Seminar, Princeton | Jun 12, 2015 | ||
| Bitcoin and human behavior | Security and Human Behavior, Washington, D.C. | Jun 8, 2015 | ||
| Algorithmic society: How did we get here? How should we react? | CITP luncheon series | Apr 21, 2015 | Abstract Video | |
| Bitcoin and Entrepreneurship (Panel) | Princeton Entrepreneurship Club | Apr 3, 2015 | ||
| Why Bitcoin matters (to computer scientists) | University of Maryland | Mar 27, 2015 | Abstract and Video | |
| The quest to reverse-engineer our algorithmic world | Old Guard of Princeton | Mar 25, 2015 | ||
| Threshold cryptography for mission-critical security | Google security summit | Mar 17, 2015 | ||
| Why you need threshold signatures to protect your wallet | MIT Bitcoin Expo | Mar 8, 2015 | Video | |
| Future of privacy (Panel) | National Science Foundation SaTC PI meeting | Jan 6, 2015 | ||
| Reverse engineering online tracking for privacy, transparency, accountability | MIT big data lecture series | Dec 8, 2014 | ||
| Bitcoin doesn't work in theory. Who cares? | Hashers United, Las Vegas | Oct 10, 2014 | ||
| Tutorial on web privacy and transparency | Princeton Web Privacy and Transparency Conference | Oct 24, 2014 | Video | |
| Ending the Online Panopticon: The Princeton Web Transparency and Accountability Project | CITP luncheon series | Sep 30, 2014 | Abstract Video | |
| Better in Practice than in Theory: Lessons from the Rise of Bitcoin | HotSec 2014 | Aug 19, 2014 | Abstract | |
| Is there a filter bubble on news websites? | Microsoft Research NYC | Apr 1, 2014 | ||
| Altcoins: designing novel cryptocurrencies (Panel) | Bitcoin and Cryptocurrency Research Conference | Mar 27, 2014 | Video | |
| Is Bitcoin Anonymous? | Real World Cryptography Workshop | Jan 13, 2014 | Video | |
| Introduction to Cryptography and Differential Privacy | "Accelerate Genomic Research with Privacy Protections" workshop, Banbury Center | Dec 12, 2013 | ||
| Privacy Technologies | Guest Lecture, WWS 351 | Dec 5, 2013 | ||
| Online Tracking: An Arms Race? | Princeton ACM meeting | Nov 21, 2013 | ||
| Ethical training of software engineers: Why and how | CITP Luncheon series | Nov 7, 2013 | Abstract Video | |
| The Business of Tracking | Chicago Ideas Week | Oct 16, 2013 | Video | |
| Mixcoin: Bitcoin Anonymity via accountable mixes | DC Area Anonymity/Privacy/Security Seminar | Oct 11, 2013 | ||
| Beyond the code: What makes privacy technologies succeed or fail? | CRISSP, NYU Poly | Aug 8, 2013 | ||
| Privacy Technologies: An Annotated Syllabus | HotPETS 2013, Bloomington IN | Jul 12, 2013 | ||
| Academic publishing as (ruinous) competition: Is there a way out? | PETS 2013, Bloomington IN | Jul 11, 2013 | Transcript | |
| Bitcoin: Security, Anonymity, Economics | IBM T. J. Watson Research Center, Yorktown Heights | May 15, 2013 | ||
| What happened to the crypto dream? | ||||
| Digital feudalism is upon us. How do we respond? | CITP luncheon series | May 09, 2013 | Abstract Video | |
| Dumpster diving on the web (or) Web measurement for fairness and transparency | Drexel University | May 07, 2013 | ||
| Beyond "Personally Identifiable Information" (Panel) | Big Privacy, CITP, Princeton | Apr 26, 2013 | ||
| Privacy by Design: An Engineering Ethics Perspective (Panel) | Santa Clara University School of Law | Jan 23, 2013 | Video | |
| Digital feudalism is upon us. How do we respond? | Electronic Frontier Foundation, San Francisco | Jan 23, 2013 | ||
| Center for Internet and Society, Stanford Law School | Jan 22, 2013 | |||
| How Have Companies Reacted to Deanonymization Research? | DIMACS workshop on differential privacy, Rutgers | Oct 26, 2012 | ||
| What Happened to the Crypto Dream? | CITP luncheon series | Jul 16, 2012 | Abstract Video | |
| Technology is Not Enough: New Directions in Designing for Privacy | Aug 12, 2012 | |||
| Aug 7, 2012 | ||||
| SRI International | Aug 5, 2012 | |||
| Jul 9, 2012 | ||||
| Centralized Collection and Control of Personal Data: Due for Disruption or Unstoppable Trend? | Mozilla | Jul 17, 2012 | Video | |
| What Happened to the Crypto Dream? | Electronic Frontier Foundation | Jul 16, 2012 | ||
| Applications of Data Science (Panel) | Singularity University Graduate Studies Program | Jul 3, 2012 | ||
| Job talk | Data Privacy Technologies: From Alchemy to an Engineering Discipline | UI Urbana-Champaign | Apr 23, 2012 | |
| UC Santa Barbara | Apr 11, 2012 | |||
| Microsoft Research, Redmond | Apr 4, 2012 | |||
| Carnegie Mellon University | Mar 30, 2012 | |||
| Microsoft Research, Silicon Valley | Mar 26, 2012 | |||
| USC | Mar 22, 2012 | |||
| Princeton | Mar 7, 2012 | |||
| University of Maryland | Feb 27, 2012 | |||
| Yale | Feb 23, 2012 | |||
| Is Writing Style Sufficient to Deanonymize Material Posted Online? | 2012 Security Workshop, Stanford Computer Forum | Apr 2, 2012 | ||
| A Whirlwind Tour of Inference Algorithms for Breaching Confidentiality | Center for the Study of Global Financial Stability, Penn State University | Mar 15, 2012 | ||
| On the Feasibility of Internet-scale Author Identification | PARC, Palo Alto | Feb 9, 2012 | ||
| Privacy and Anonymity in a World of Interconnected Data | TASC, Mountain View | Dec 13 2011 | ||
| Why Online Tracking is Worse Than You Thought, and Why We Need Do Not Track | Governance of Social Media Workshop, Washington D.C. | Nov 11 2011 | ||
| Location Privacy via Private Proximity Testing | Syschat, UMD College Park | Nov 9 2011 | ||
| Online Tracking: A Diagnosis and Some Prescriptions | ECE 18-739, CMU Silicon Valley | Oct 27 2011 | ||
| Adnostic and Friends: The Past, Present and Future of Privacy Intermediaries | Technicolor Research, Palo Alto | Aug 24 2011 | ||
| Can We Do Meaningful Deidentification of Medical Data? (Panel) | HealthSec 2011, San Francisco | Aug 9 2011 | ||
| Link Prediction by De-anonymization: How We Won the Kaggle Social Network Challenge | IJCNN, San Jose | Aug 5 2011 | ||
| The Do Not Track Cookbook | Stanford Law School CIS Affiliates Meeting | Aug 1 2011 | ||
| Physically Unclonable Functions: PUFs of smoke? | Stanford Security Seminar | Jul 29 2011 | ||
| Online Tracking and Defenses: Technology, Economics, Policy | WiTAP: Workshop on Internet Tracking, Advertising, and Privacy, Stanford | Jul 22 2011 | ||
| The Failure of Data Anonymization and What to Do About It | Nokia / NSN privacy network (remote talk) | Jun 6 2011 | ||
| Rethinking Privacy: A Multidisciplinary Perspective | Yahoo Security Week | Apr 28 2011 | ||
| Tracking on the Internet and Do Not Track | Stanford Computer Forum: 2011 Security Workshop | Apr 11, 2011 | ||
| Paying with Data: How Free Services Aren't Free (Panel) | South By Southwest, Austin TX | Mar 13, 2011 | ||
| Rethinking Privacy: A Multidisciplinary Perspective | CS247, Stanford | Mar 1, 2011 | ||
| Do Not Track Demystified (Panel) | Future of Privacy Forum, National Press Club, Washington D.C. | Dec 2, 2010 | ||
| A Thousand Points of Data (Panel) | Big Data: Public Policy and the Exploding Digital Corpus, Princeton University | Nov 30, 2010 | ||
| Location Services with Built-in Privacy | Stanford | Nov 10, 2010 | ||
| The Failure of Data Anonymization | SAP Labs | Sep 9, 2010 | ||
| Location services with built-in privacy | Security lunch, Stanford | Jul 15, 2010 | ||
| Anonymization: Myths, Challenges and Techniques (Panel) | International Association of Privacy Practitioners: Practical Privacy Series | Jun 15, 2010 | ||
| Social Networks and Persistent Identity: Security Threats and Opportunities | Symantec Research Labs | Jun 10 2010 | ||
| Location-based Services with Built-in Privacy | Stanford Computer Forum: 2010 Security Workshop | Apr 30 2010 | ||
| The Failure of Anonymization: Crisis and Opportunity | Yahoo Security Week | Apr 26 2010 | ||
| What Computer Scientists Know About Anonymization and Aren't Telling You | Privacy and Free Speech Online seminar, Stanford Law School | Apr 8 2010 | ||
| User Privacy on the Web | Stanford CS241 | Apr 1 2010 | ||
| Privacy Leaks in the Cloud and Potential Solutions (Panel) | RSA Conference | Mar 3 2010 | ||
| Adnostic: Privacy-preserving Targeted Advertising | NDSS 2010 | Mar 1 2010 | ||
| Privacy: The Big Picture (Part 1) | A series of 3 talks in CS 294: Advanced Topics in Computer Security (UC Berkeley) | Feb 27 2010 | ||
| Inferential Attacks on Data Privacy (Part 2) | ||||
| Differential Privacy: Achievements and Challenges (Part 3) | ||||
| Privacy and Technology (Panel) | Second FTC Privacy Roundtable, Berkeley | Jan 28 2010 | ||
| What Does it Mean to Own Our Genome? Large-scale Re-identification of DNA and Implications for Privacy | 23andme | Jan 20 2010 | ||
| Stanford Security Seminar | Jan 12 2010 | |||
| UTCS Colloquium, UT Austin | Nov 5 2009 | |||
| Security lunch, UC Berkeley | Oct 27 2009 | |||
| De-anonymizing Social Networks | RAIN Seminar (Stanford) | Sep 30 2009 | ||
| Privacy by Design in Social Networks: Pitfalls and Challenges | SocialNetSec (Stanford) | Sep 11 2009 | ||
| De-anonymizing Individuals in a Database | CS3636 (Naval Postgraduate School) | Jul 27 2009 | ||
| The End of Anonymized Data: The Case of Social Networks | IEEE S&P '09 | May 19, 2009 | ||
| Privacy and Anonymity in a World of Interconnected Data | Ph.D Thesis Defense, UT Austin | May 1, 2009 | ||
| Privacy and Anonymity in a World of Interconnected Data | Oct 2008 | |||
| UC Berkeley | Oct 22, 2008 | |||
| PARC | Oct 21, 2008 | |||
| Microsoft Research | Oct 20, 2008 | |||
| Stanford Security Seminar | Oct 14, 2008 | |||
| Robust De-Anonymization of Large Sparse Datasets | IEEE S&P '08 | May 19, 2008 | ||
| Privacy and Anonymity in Social Networks | DIMACS Workshop on Internet Privacy | May 25, 2007 | ||
| Domain Extension for Random Oracles: Beyond the Birthday Paradox Bound | ECRYPT Hash Workshop 2007 | May 25, 2007 | ||
| Horizontal Malware Analysis | SRI International (Summer Internship wrap-up talk) | Aug 22 2007 | ||
| Obfuscated Databases and Group Privacy | ACM CCS 05 | Nov 8, 2005 | ||
| Fast Dictionary Attacks on Human-Memorable Passwords Using Time-Space Tradeoff | ACM CCS 05 | Nov 10, 2005 |