Adversarial attacks and defenses in explainable artificial intelligence: A survey
Authors: Hubert Baniecki, Przemyslaw Biecek | Published: 2023-06-06 | Updated: 2024-02-13
攻撃手法
Evaluating Privacy Leakage in Split Learning
Authors: Xinchi Qiu, Ilias Leontiadis, Luca Melis, Alex Sablayrolles, Pierre Stock | Published: 2023-05-22 | Updated: 2024-01-19
Network Cascade Vulnerability using Constrained Bayesian Optimization
Authors: Albert Lam, Mihai Anitescu, Anirudh Subramanyam | Published: 2023-04-27 | Updated: 2023-10-05
Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification
Authors: Jialin Liu, Ning Miao, Chongzhou Fang, Houman Homayoun, Han Wang | Published: 2023-04-04
TrojanPuzzle: Covertly Poisoning Code-Suggestion Models
Authors: Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, Robert Sim | Published: 2023-01-06 | Updated: 2024-01-24
Multi-Player Bandits Robust to Adversarial Collisions
Authors: Shivakumar Mahesh, Anshuka Rangi, Haifeng Xu, Long Tran-Thanh | Published: 2022-11-15
An Embarrassingly Simple Backdoor Attack on Self-supervised Learning
Authors: Changjiang Li, Ren Pang, Zhaohan Xi, Tianyu Du, Shouling Ji, Yuan Yao, Ting Wang | Published: 2022-10-13 | Updated: 2023-08-14
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses
Authors: Anshuman Chhabra, Ashwin Sekhari, Prasant Mohapatra | Published: 2022-10-04
SNAP: Efficient Extraction of Private Properties with Poisoning
Authors: Harsh Chaudhari, John Abascal, Alina Oprea, Matthew Jagielski, Florian Tramèr, Jonathan Ullman | Published: 2022-08-25 | Updated: 2023-06-21
Deception for Cyber Defence: Challenges and Opportunities
Authors: David Liebowitz, Surya Nepal, Kristen Moore, Cody J. Christopher, Salil S. Kanhere, David Nguyen, Roelien C. Timmer, Michael Longland, Keerth Rathakumar | Published: 2022-08-15