ACM Symposium on Computer Science and Law

Bridge the Divide Between Computer Science and Law

ACM Symposium on Computer Science and Law

Bridge the Divide Between Computer Science and Law

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”