activity
20212025
most citedIncreasing Adversarial Uncertainty to Scale Private Similarity Testing

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2025

Transcript Franking for Encrypted Messaging

Armin Namavari, Thomas Ristenpart

Message franking is an indispensable abuse mitigation tool for end-to-end encrypted (E2EE) messaging platforms. With it, users who receive harmful content can securely report that…

cs.CR2024

Injection Attacks Against End-to-End Encrypted Applications

Andrés Fábrega, Carolina Ortega Pérez, Armin Namavari +3

We explore an emerging threat model for end-to-end (E2E) encrypted applications: an adversary sends chosen messages to a target client, thereby "injecting" adversarial content into…

cs.CR2024

Exploiting Leakage in Password Managers via Injection Attacks

Andrés Fábrega, Armin Namavari, Rachit Agarwal +2

This work explores injection attacks against password managers. In this setting, the adversary (only) controls their own application client, which they use to "inject" chosen paylo…

cs.CR2024★ 2 cited

Private Hierarchical Governance for Encrypted Messaging

Armin Namavari, Barry Wang, Sanketh Menda +5

The increasing harms caused by hate, harassment, and other forms of abuse online have motivated major platforms to explore hierarchical governance. The idea is to allow communities…

cs.CR2021★ 3 cited

Increasing Adversarial Uncertainty to Scale Private Similarity Testing

Yiqing Hua, Armin Namavari, Kaishuo Cheng +2

Social media and other platforms rely on automated detection of abusive content to help combat disinformation, harassment, and abuse. One common approach is to check user content f…