Enhanced Membership Inference Attacks against Machine Learning Models
Authors: Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Vincent Bindschaedler, Reza Shokri | Published: 2021-11-18 | Updated: 2022-09-13
Membership Inference
On the Importance of Difficulty Calibration in Membership Inference Attacks
Authors: Lauren Watson, Chuan Guo, Graham Cormode, Alex Sablayrolles | Published: 2021-11-15 | Updated: 2022-04-11
Property Inference Attacks Against GANs
Authors: Junhao Zhou, Yufei Chen, Chao Shen, Yang Zhang | Published: 2021-11-15
Efficient passive membership inference attack in federated learning
Authors: Oualid Zari, Chuan Xu, Giovanni Neglia | Published: 2021-10-31
Multi-concept adversarial attacks
Authors: Vibha Belavadi, Yan Zhou, Murat Kantarcioglu, Bhavani M. Thuraisingham | Published: 2021-10-19
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
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