Accepted Papers

  • Moon Duchin and Douglas Spencer: “Blind Justice: Algorithms and Neutrality in the Case of Redistricting”
  • Dor Bitan, Ran Canetti, Shafi Goldwasser, and Rebecca Wexler: “Using Zero-Knowledge to Reconcile Law Enforcement Secrecy and Fair Trial Rights in Criminal Cases”
  • Jason Hartline, Daniel W. Linna Jr., Liren Shan, and Alex Tang: “Algorithmic Learning Foundations for Common Law”
  • Joshua Bloch and Pamela Samuelson: “Some Misconceptions about Software in the Copyright Literature”
  • Ero Balsa, Sunoo Park, and Helen Nissenbaum: “Cryptography, Trust and Privacy: It’s Complicated”
  • Aloni Cohen, Sarah Scheffler, and Mayank Varia: “Can the government compel decryption? Don’t trust — verify”
  • Ayelet Gordon-Tapiero, Alexandra Wood, and Katrina Ligett: “The Case for Establishing a Collective Perspective to Address the Harms of Platform Personalization”
  • Sarah Scheffler, Eran Tromer, and Mayank Varia: “Formalizing Human Ingenuity: A Quantitative Framework for Copyright Law’s Substantial Similarity”
  • Fabian Burmeister, Mickey Zar, Tilo Böhmann, Niva Elkin-Koren, Christian Kurtz, and Wolfgang Schulz: “Toward architecture-driven interdisciplinary research: Learnings from a case study of COVID-19 contact tracing apps”
  • Johanna Gunawan, Cristiana Santos, and Irene Kamara: “Redress for Dark Patterns Privacy Harms? A Case Study on Consent Interactions”
  • James Grimmelmann: “Programming Languages and Law: A Research Agenda”
  • A. Feder Cooper, Jonathan Frankle, and Christopher De Sa: “Non-Determinism and the Lawlessness of Machine Learning Code”
  • Peter Henderson, Ben Chugg, Brandon Anderson, and Daniel E. Ho: “Beyond Ads: Sequential Decision-Making Algorithms in Law and Public Policy”
  • Aniket Kesari: “A Computational Law & Economics Toolkit for Balancing Privacy and Fairness in Consumer Law”
  • Mayank Varia, Aloni Cohen, Andrew Sellars, and Azer Bestavros: “Multi-Regulation Computing: Examining the Legal and Policy Questions That Arise From Secure Multiparty Computation”
  • Jinshuo Dong, Jason Hartline, and Aravindan Vijayaraghavan: “Classification Protocols with Minimal Disclosure”