No Free Lunch in “Privacy for Free: How does Dataset Condensation Help Privacy”
Authors: Nicholas Carlini, Vitaly Feldman, Milad Nasr | Published: 2022-09-29
モデル設計
A Closer Look at Evaluating the Bit-Flip Attack Against Deep Neural Networks
Authors: Kevin Hector, Mathieu Dumont, Pierre-Alain Moellic, Jean-Max Dutertre | Published: 2022-09-28 | Updated: 2022-09-30
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model using Subspace Perturbation
Authors: Qiongxiu Li, Jaron Skovsted Gundersen, Katrine Tjell, Rafal Wisniewski, Mads Græsbøll Christensen | Published: 2022-09-16
M^4I: Multi-modal Models Membership Inference
Authors: Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue | Published: 2022-09-15
Robust Transferable Feature Extractors: Learning to Defend Pre-Trained Networks Against White Box Adversaries
Authors: Alexander Cann, Ian Colbert, Ihab Amer | Published: 2022-09-14
SEEK: model extraction attack against hybrid secure inference protocols
Authors: Si Chen, Junfeng Fan | Published: 2022-09-14
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game
Authors: Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, Qingming Huang | Published: 2022-09-13
Intrusion Detection Systems Using Support Vector Machines on the KDDCUP’99 and NSL-KDD Datasets: A Comprehensive Survey
Authors: Mikel K. Ngueajio, Gloria Washington, Danda B. Rawat, Yolande Ngueabou | Published: 2022-09-12
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis
Authors: Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K Qureshi, Hsien-Hsin S. Lee | Published: 2022-09-12
Defend Data Poisoning Attacks on Voice Authentication
Authors: Ke Li, Cameron Baird, Dan Lin | Published: 2022-09-09 | Updated: 2023-07-07