output
20112026
most citedStealing Machine Learning Models via Prediction APIs

733 citations

Showing cs.CRShow all

19 papers · 1 filter

cs.CR2026

mmFHE: mmWave Sensing with End-to-End Fully Homomorphic Encryption

Tanvir Ahmed, Yixuan Gao, Adnan Armouti +1

We present mmFHE, the first system that executes the entire cloud-side mmWave sensing pipeline including the DSP and ML inference under fully homomorphic encryption (FHE). mmFHE en…

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.CR2024★ 38 cited

zkLogin: Privacy-Preserving Blockchain Authentication with Existing Credentials

Foteini Baldimtsi, Konstantinos Kryptos Chalkias, Yan Ji +6

For many users, a private key based wallet serves as the primary entry point to blockchains. Commonly recommended wallet authentication methods, such as mnemonics or hardware walle…

cs.CR2023★ 4 cited

On the Computational Hardness of Quantum One-Wayness

Bruno Cavalar, Eli Goldin, Matthew Gray +3

There is a large body of work studying what forms of computational hardness are needed to realize classical cryptography. In particular, one-way functions and pseudorandom generato…

cs.CR2022★ 26 cited

Strategic Latency Reduction in Blockchain Peer-to-Peer Networks

Weizhao Tang, Lucianna Kiffer, Giulia Fanti +1

Most permissionless blockchain networks run on peer-to-peer (P2P) networks, which offer flexibility and decentralization at the expense of performance (e.g., network latency). Hist…

cs.CR2021★ 35 cited

Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures

Eugene Bagdasaryan, Vitaly Shmatikov

We investigate a new threat to neural sequence-to-sequence (seq2seq) models: training-time attacks that cause models to "spin" their outputs so as to support an adversary-chosen se…