Armin Namavari

dblp:301/5856 · DBLP profile ↗
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7ranked-venue papers
2as first author
7since 2021 · last 2025
0000-0001-6890-3490ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 7 · 2 first-author · 7 since 2021
YearPublicationVenuePosition
2025 Transcript Franking for Encrypted Messaging
Armin Namavari, Thomas Ristenpart
ASIACRYPT (2)1
2025 Mitigating Injection Attacks against E2EE Applications via View-Based Partitioning
Andrés Fábrega, Samuel Breckenridge, Armin Namavari, Thomas Ristenpart
USENIX Security Symposium3
2024 Injection Attacks Against End-to-End Encrypted Applications
abstract
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 the application state. Such state is subsequently encrypted and synchronized to an adversarially-visible storage. By observing the lengths of the resulting cloud-stored cipher-texts, the attacker backs out confidential information.We investigate this injection threat model in the context of state-of-the-art encrypted messaging applications that support E2E encrypted backups. We show proof-of-concept attacks that can recover information about E2E encrypted messages or attachments sent via WhatsApp, assuming the ability to compromise the target user’s Google or Apple account (which gives access to encrypted backups). We also show weaknesses in Signal’s encrypted backup design that would allow injection attacks to infer metadata including a target user’s number of contacts and conversations, should the adversary somehow obtain access to the user’s encrypted Signal backup.While we do not believe our results should be of immediate concern for users of these messaging applications, our results do suggest that more work is needed to build tools that enjoy strong E2E security guarantees.
Andrés Fábrega, Carolina Ortega Pérez, Armin Namavari, Ben Nassi, Rachit Agarwal 0001, Thomas Ristenpart
SP3
2024 Private Hierarchical Governance for Encrypted Messaging
abstract
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 to have designated members take on moderation and leadership duties; meanwhile, members can still escalate issues to the platform. But these promising approaches have only been explored in plaintext settings where community content is public to the platform. It is unclear how one can realize hierarchical governance in the huge and increasing number of online communities that utilize end-to-end encrypted (E2EE) messaging for privacy.We propose private hierarchical governance systems. These should enable similar levels of community governance as in plaintext settings, while maintaining cryptographic privacy of content and governance actions not reported to the platform. We design the first such system, taking a layered approach that adds governance logic on top of an encrypted messaging protocol; we show how an extension to the message layer security (MLS) protocol suffices for achieving a rich set of governance policies. Our approach allows developers to rapidly prototype new governance features, taking inspiration from a plaintext system called PolicyKit. We build a prototype E2EE messaging system called MlsGov that supports content-based community and platform moderation, elections of community moderators, votes to remove abusive users, and more.
Armin Namavari, Barry Wang, Sanketh Menda, Ben Nassi, Nirvan Tyagi, James Grimmelmann, Amy X. Zhang, Thomas Ristenpart
SP1
2024 Exploiting Leakage in Password Managers via Injection Attacks
Andrés Fábrega, Armin Namavari, Rachit Agarwal 0001, Ben Nassi, Thomas Ristenpart
USENIX Security Symposium2
2022 Increasing Adversarial Uncertainty to Scale Private Similarity Testing
Yiqing Hua, Armin Namavari, Kaishuo Cheng, Mor Naaman, Thomas Ristenpart
USENIX Security Symposium2
2021 Searching Encrypted Data with Size-Locked Indexes
Armin Namavari, David Cash, Thomas Ristenpart
USENIX Security Symposium2