174 citations · 313 across the 26 of their papers we have counts for
4 papers · 1 filter
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice
Andrea Gadotti, Florimond Houssiau, Meenatchi Sundaram Muthu Selva Annamalai +1
Behavioral data generated by users' devices, ranging from emoji use to pages visited, are collected at scale to improve apps and services. These data, however, contain fine-grained…
PORE: Provably Robust Recommender Systems against Data Poisoning Attacks
Jinyuan Jia, Yupei Liu, Yuepeng Hu +1
Data poisoning attacks spoof a recommender system to make arbitrary, attacker-desired recommendations via injecting fake users with carefully crafted rating scores into the recomme…
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees
Jinghuai Zhang, Jinyuan Jia, Hongbin Liu +1
Point cloud classification is an essential component in many security-critical applications such as autonomous driving and augmented reality. However, point cloud classifiers are v…
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service
Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong
Encoder as a service is an emerging cloud service. Specifically, a service provider first pre-trains an encoder (i.e., a general-purpose feature extractor) via either supervised le…