8 citations · 21 across the 7 of their papers we have counts for
4 papers · 1 filter
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks
Zeyang Sha, Xinlei He, Pascal Berrang +2
Backdoor attacks represent one of the major threats to machine learning models. Various efforts have been made to mitigate backdoors. However, existing defenses have become increas…
Data Poisoning Attacks Against Multimodal Encoders
Ziqing Yang, Xinlei He, Zheng Li +4
Recently, the newly emerged multimodal models, which leverage both visual and linguistic modalities to train powerful encoders, have gained increasing attention. However, learning…
Accountable Javascript Code Delivery
Ilkan Esiyok, Pascal Berrang, Katriel Cohn-Gordon +1
The internet is a major distribution platform for web applications, but there are no effective transparency and audit mechanisms in place for the web. Due to the ephemeral nature o…
On How Zero-Knowledge Proof Blockchain Mixers Improve, and Worsen User Privacy
Zhipeng Wang, Stefanos Chaliasos, Kaihua Qin +5
Zero-knowledge proof (ZKP) mixers are one of the most widely-used blockchain privacy solutions, operating on top of smart contract-enabled blockchains. We find that ZKP mixers are…