Defend Data Poisoning Attacks on Voice Authentication
Authors: Ke Li, Cameron Baird, Dan Lin | Published: 2022-09-09 | Updated: 2023-07-07
Defense Mechanism
Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification
Authors: Cangxiong Chen, Neill D. F. Campbell | Published: 2021-11-19
A Review of Adversarial Attack and Defense for Classification Methods
Authors: Yao Li, Minhao Cheng, Cho-Jui Hsieh, Thomas C. M. Lee | Published: 2021-11-18
QUDOS: Quorum-Based Cloud-Edge Distributed DNNs for Security Enhanced Industry 4.0
Authors: Kevin Wallis, Christoph Reich, Blesson Varghese, Christian Schindelhauer | Published: 2021-11-09
Bayesian Framework for Gradient Leakage
Authors: Mislav Balunović, Dimitar I. Dimitrov, Robin Staab, Martin Vechev | Published: 2021-11-08 | Updated: 2022-03-17
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