34 citations · 88 across the 17 of their papers we have counts for
6 papers · 1 filter
Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data
Yongji Wu, Xiaoyu Cao, Jinyuan Jia +1
Local Differential Privacy (LDP) protocols enable an untrusted server to perform privacy-preserving, federated data analytics. Various LDP protocols have been developed for differe…
10 Security and Privacy Problems in Large Foundation Models
Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong
Foundation models--such as GPT, CLIP, and DINO--have achieved revolutionary progress in the past several years and are commonly believed to be a promising approach for general-purp…
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning
Hongbin Liu, Jinyuan Jia, Wenjie Qu +1
Given a set of unlabeled images or (image, text) pairs, contrastive learning aims to pre-train an image encoder that can be used as a feature extractor for many downstream tasks. I…
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning
Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong
Self-supervised learning in computer vision aims to pre-train an image encoder using a large amount of unlabeled images or (image, text) pairs. The pre-trained image encoder can th…
PointGuard: Provably Robust 3D Point Cloud Classification
Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
3D point cloud classification has many safety-critical applications such as autonomous driving and robotic grasping. However, several studies showed that it is vulnerable to advers…
Provably Secure Federated Learning against Malicious Clients
Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong
Federated learning enables clients to collaboratively learn a shared global model without sharing their local training data with a cloud server. However, malicious clients can corr…