Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
Authors: Xinyu Tang, Saeed Mahloujifar, Liwei Song, Virat Shejwalkar, Milad Nasr, Amir Houmansadr, Prateek Mittal | Published: 2021-10-15
Membership Inference
On the Security Risks of AutoML
Authors: Ren Pang, Zhaohan Xi, Shouling Ji, Xiapu Luo, Ting Wang | Published: 2021-10-12
Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference
Authors: Jiaxiang Liu, Simon Oya, Florian Kerschbaum | Published: 2021-10-11
The Connection between Out-of-Distribution Generalization and Privacy of ML Models
Authors: Divyat Mahajan, Shruti Tople, Amit Sharma | Published: 2021-10-07
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models
Authors: Yunhao Yang, Parham Gohari, Ufuk Topcu | Published: 2021-10-06 | Updated: 2022-06-15
Inference Attacks Against Graph Neural Networks
Authors: Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang | Published: 2021-10-06
Secure Machine Learning over Relational Data
Authors: Qiyao Luo, Yilei Wang, Zhenghang Ren, Ke Yi, Kai Chen, Xiao Wang | Published: 2021-09-30
Membership Inference Attacks Against Recommender Systems
Authors: Minxing Zhang, Zhaochun Ren, Zihan Wang, Pengjie Ren, Zhumin Chen, Pengfei Hu, Yang Zhang | Published: 2021-09-16
Can one hear the shape of a neural network?: Snooping the GPU via Magnetic Side Channel
Authors: Henrique Teles Maia, Chang Xiao, Dingzeyu Li, Eitan Grinspun, Changxi Zheng | Published: 2021-09-15
Formalizing and Estimating Distribution Inference Risks
Authors: Anshuman Suri, David Evans | Published: 2021-09-13 | Updated: 2022-07-05