Bayesian Framework for Gradient Leakage
Authors: Mislav Balunović, Dimitar I. Dimitrov, Robin Staab, Martin Vechev | Published: 2021-11-08 | Updated: 2022-03-17
Defense Mechanism
Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks
Authors: Lijia Yu, Xiao-Shan Gao | Published: 2021-11-08 | Updated: 2022-02-14
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
DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning
Authors: Md Tamjid Hossain, Shafkat Islam, Shahriar Badsha, Haoting Shen | Published: 2021-09-21
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
Predicting Process Name from Network Data
Authors: Justin Allen, David Knapp, Kristine Monteith | Published: 2021-09-03
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks
Authors: Anuj Dubey, Rosario Cammarota, Vikram Suresh, Aydin Aysu | Published: 2021-09-01
Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs
Authors: Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari | Published: 2021-08-29 | Updated: 2022-09-04
HW2VEC: A Graph Learning Tool for Automating Hardware Security
Authors: Shih-Yuan Yu, Rozhin Yasaei, Qingrong Zhou, Tommy Nguyen, Mohammad Abdullah Al Faruque | Published: 2021-07-26
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
Authors: Florian Tramèr | Published: 2021-07-24 | Updated: 2022-06-16