activity
20182023
most citedFrom Soft Classifiers to Hard Decisions: How fair can we be?

4 citations · 8 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CR2023★ 1 cited

SoK: Content Moderation for End-to-End Encryption

Sarah Scheffler, Jonathan Mayer

Popular messaging applications now enable end-to-end-encryption (E2EE) by default, and E2EE data storage is becoming common. These important advances for security and privacy creat…

cs.CY2022★ 2 cited

Can the Government Compel Decryption? Don't Trust -- Verify

Aloni Cohen, Sarah Scheffler, Mayank Varia

If a court knows that a respondent knows the password to a device, can the court compel the respondent to enter that password into the device? In this work, we propose a new approa…

cs.CY2022

Formalizing Human Ingenuity: A Quantitative Framework for Copyright Law's Substantial Similarity

Sarah Scheffler, Eran Tromer, Mayank Varia

A central notion in U.S. copyright law is judging the substantial similarity between an original and an (allegedly) derived work. Capturing this notion has proven elusive, and the…

cs.CC2020

Arithmetic Expression Construction

Leo Alcock, Sualeh Asif, Jeffrey Bosboom +10

When can given numbers be combined using arithmetic operators from a given subset of to obtain a given target number? We study three variations of this pr…

cs.CC2020★ 1 cited

PSPACE-completeness of Pulling Blocks to Reach a Goal

Hayashi Ani, Sualeh Asif, Erik D. Demaine +5

We prove PSPACE-completeness of all but one problem in a large space of pulling-block problems where the goal is for the agent to reach a target destination. The problems are param…

cs.CY2019

Case Study: Disclosure of Indirect Device Fingerprinting in Privacy Policies

Julissa Milligan, Sarah Scheffler, Andrew Sellars +3

Recent developments in online tracking make it harder for individuals to detect and block trackers. Some sites have deployed indirect tracking methods, which attempt to uniquely id…

cs.LG2018★ 4 cited

From Soft Classifiers to Hard Decisions: How fair can we be?

Ran Canetti, Aloni Cohen, Nishanth Dikkala +3

A popular methodology for building binary decision-making classifiers in the presence of imperfect information is to first construct a non-binary "scoring" classifier that is calib…