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
攻撃手法
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
Unifying Gradients to Improve Real-world Robustness for Deep Networks
Authors: Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang | Published: 2022-08-12 | Updated: 2023-08-24
Analysis, Detection, and Classification of Android Malware using System Calls
Authors: Shubham Shakya, Mayank Dave | Published: 2022-08-12
Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone
Authors: Aghiles Ait Messaoud, Sonia Ben Mokhtar, Vlad Nitu, Valerio Schiavoni | Published: 2022-08-11 | Updated: 2022-10-15
Membership Inference Attacks via Adversarial Examples
Authors: Hamid Jalalzai, Elie Kadoche, Rémi Leluc, Vincent Plassier | Published: 2022-07-27 | Updated: 2022-11-23
Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception
Authors: Rui Duan, Zhe Qu, Shangqing Zhao, Leah Ding, Yao Liu, Zhuo Lu | Published: 2022-07-26
Careful What You Wish For: on the Extraction of Adversarially Trained Models
Authors: Kacem Khaled, Gabriela Nicolescu, Felipe Gohring de Magalhães | Published: 2022-07-21