Research
DATA CO-OPS
- VIDEO: Edenberg, E. (2021). “The Problem with Disagreement on Social Media: Moral not Epistemic.” (link opens new window) In Eli
- VIDEO: Data Cooperatives in the Real World: Progress and Challenges (link opens new window) – Ligett, Nissim, Ruhaak – Radical Exchange Conference RxC 2020
- VIDEO: Haifa University Cyber Forum: Data Co-ops (link opens new window) (partly in Hebrew)
- PAPERS: Differential Privacy: A Primer for a Non-technical Audience (link opens in new window), Kobbi Nissim, Thomas Steinke, Alexandra Wood, Micah Altman, Aaron Bembenek, Mark Bun, Marco Gaboardi, David R. O’Brien, Salil Vadhan
PRIVACY
- Privately Learning Thresholds: Closing the Exponential Gap. Haim Kaplan, Katrina Ligett, Yishay Mansour, Moni Naor, Uri Stemmer. COLT, 2020.
- A New Analysis of Differential Privacy’s Generalization Guarantees. Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Moshe Shenfeld. ITCS 2020.
- Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM. Katrina Ligett, Seth Neel, Aaron Roth, Bo Waggoner, and Steven Wu. NIPS 2017.
- The Strange Case of Privacy in Equilibrium Models. Rachel Cummings, Katrina Ligett, Mallesh Pai, and Aaron Roth. Economics and Computation (EC), 2016.
- Privacy and Data-Based Research. Ori Hefetz and Katrina Ligett. Journal of Economic Perspectives, 2014. [JEP version] [SSRN version] [NBER Working Paper No. w19433]
- A Learning Theory Approach to Non-Interactive Database Privacy. Avrim Blum, Katrina Ligett, and Aaron Roth. JACM 2013.
- A Simple and Practical Algorithm for Differential Privacy. Moritz Hardt, Katrina Ligett, and Frank McSherry. NIPS 2012.
- VIDEO: Prof. Katrina Ligett (HUJI) – They Don’t need our Data (link opens new window)
- VIDEO: Tutorial on Differential Privacy (link opens new window)
- VIDEO: Tutorial: Differential Privacy and Learning: The Tools, The Results, and The Frontier (link opens new window)
- VIDEO: Markets and Incentives for Transacting on (Personal) Information, Part I: Data Privacy: Foundations and Applications Boot Camp at the Simons Institute (link opens new window), UC Berkeley
- VIDEO: Markets and Incentives for Transacting on (Personal) Information, Part II: Foundations and Applications Boot Camp at the Simons Institute (link opens new window), UC Berkeley
- VIDEO: Markets and Incentives for Transacting on (Personal) Information, Part III: Data Privacy: Foundations and Applications Boot Camp at the Simons Institute (link opens new window), UC Berkeley
- VIDEO: Introduction to Differential Privacy, Randomized Response, Basic Properties; (link opens new window)The 7th Bar Ilan University Winter School on Cryptography
- VIDEO: Basic tools for differential privacy: Laplace Mechanism, Exponential Mechanism; (link opens new window) The 7th Bar Ilan University Winter School on Cryptography
- VIDEO: Private Data Release; (link opens new window) The 7th Bar Ilan University Winter School on Cryptography
- VIDEO: Differential Privacy Advanced Tools- Sparse Vector; (link opens new window) The 7th Bar Ilan University Winter School on Cryptography
- VIDEO: Privacy and Game Theory 1; (link opens new window) The 7th Bar Ilan University Winter School on Cryptography
- VIDEO: Privacy and Game Theory 2; (link opens new window) The 7th Bar Ilan University Winter School on Cryptography
- VIDEO: Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained… (link opens new window)
- VIDEO: Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained Empirical Risk… (link opens new window)
- VIDEO: Privacy as Stability, for Generalization: Workshop: Matches Made in Heaven (link opens new window)
- PAPERS: Differential Privacy: A Primer for a Non-technical Audience (link opens new window), Kobbi Nissim, Thomas Steinke, Alexandra Wood, Micah Altman, Aaron Bembenek, Mark Bun, Marco Gaboardi, David R. O’Brien, Salil Vadhan
- PAPERS: Is Privacy Privacy? (link opens new window) Kobbi Nissim and Alexandra Wood
- PAPERS: Data Protection’s Composition Problem (link opens new window), Aaron Fluitt, Kobbi Nissim, Alexandra Wood, Aloni Cohen, Salome Viljoen, and Micah Altman
CS & LAW
- ARTICLE: Edenberg, E. (2021). “The Problem with Disagreement on Social Media: Moral not Epistemic.” (link opens new window) In Elizabeth Edenberg and Michael Hannon (eds.), Political Epistemology. Oxford: Oxford University Press.
- PAPERS: M.L. Jones, E. Edenberg, and E. Kaufman, “AI and the Ethics of Automating Consent,” IEEE: Security & Privacy, Vol. 16, No.3 (2018): 64-72
- PRESENTATION: The Global Leadership Challenge, “Designing for Ethical Impact,” December 2020
- PRESENTATION: Responsible Data Summit, Speaker, “Data Rights and Justice,” First Annual Responsible Data Summit (virtual conference), July 2020 (public virtual conference for technologists and policy makers in industry, the government, and academia)
- PRESENTATION: CNA National Security Seminar, Speaker, “AI and Ethics,” June 2020 (closed summit for the US government and national security experts)
- PRESENTATION: Congressional Hispanic Caucus Institute, Expert Panelist “Ethics of the Future: AI, Transhumanism and the Age of Super-Intelligence,” Tech Summit 2.0, December 2019
- PRESENTATION: POLITICO: AI SUMMIT, September 2018: Expert Panelist on AI & Ethics
- PAPERS: Designing Access with Differential Privacy (link opens new window), Salil Vadhan, Kobbi Nissim, Alexandra Wood, and Micah Altman
- PAPERS: What a Hybrid Legal-Technical Analysis Teaches Us About Privacy Regulation: The Case of Singling Out (link opens new window), Micah Altman, Aloni Cohen, Kobbi Nissim, Alexandra Wood
- PAPERS: Bridging the Gap between Computer Science and Legal Approaches to Privacy (link opens new window), Kobbi Nissim, Aaron Bembenek, Alexandra Wood, Mark Bun, Marco Gaboardi, Urs Gasser, David R. O’Brien, Thomas Steinke, and Salil Vadhan
- VIDEO: Integrating Legal and Technical Reasoning for Privacy Analysis (link opens new window), Alexandra Wood
- VIDEO: Designing Access with Differential Privacy (link opens new window), Alexandra Wood, Micah Altman, Kobbi Nissim, Salil Vadhan
- VIDEO: Hybrid Legal-Technical Concepts of Privacy (link opens new window), Alexandra Wood, Data Privacy: From Foundations to Applications Workshop, Simons Institute for the Theory of Computing, Berkeley, CA (March 4, 2019)
PERSONALIZATION OF DATA
- ARTICLE: Singling Out, Generalization, and Differential Privacy (link opens new window), Aloni Cohen, Kobbi Nissim
DISTRIBUTED COMPUTATION: Coming Soon
CS & ETHICS
- PAPERS: E. Edenberg and M.L. Jones, “Analyzing the Legal Roots and Moral Core of Digital Consent,” (link opens new window) New Media and Society Vol. 21, No. 8 (2019): 1804-1823
- PAPERS: M.L. Jones and E.Edenberg, “Troubleshooting AI and Consent,” (link opens new window) Oxford Handbook on the Ethics of Artificial Intelligence, edited by M. Dubber, S. Das, F. Pasquale. (Oxford University Press, 2020)
FAIRNESS
- A Necessary and Sufficient Stability Notion for Adaptive Generalization (link opens new window). Katrina Ligett and Moshe Shenfeld. NeurIPS 2019.
- Equal Opportunity in Online Classification with Partial Feedback (link opens new window). Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, and Steven Wu. NeurIPS 2019.
- Access to Population-Level Signaling as a Source of Inequality (link opens new window). Nicole Immorlica, Katrina Ligett, and Juba Ziani. FAT* 2019.