Dissecting Malware in the Wild
Authors: Hamish Spencer, Wei Wang, Ruoxi Sun, Minhui Xue | Published: 2021-11-28 | Updated: 2021-12-04
バックドア攻撃
Bayesian Framework for Gradient Leakage
Authors: Mislav Balunović, Dimitar I. Dimitrov, Robin Staab, Martin Vechev | Published: 2021-11-08 | Updated: 2022-03-17
Get a Model! Model Hijacking Attack Against Machine Learning Models
Authors: Ahmed Salem, Michael Backes, Yang Zhang | Published: 2021-11-08
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks
Authors: Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao | Published: 2021-10-13 | Updated: 2022-06-15
Evaluating Deep Learning Models and Adversarial Attacks on Accelerometer-Based Gesture Authentication
Authors: Elliu Huang, Fabio Di Troia, Mark Stamp | Published: 2021-10-03
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks
Authors: Kaleel Mahmood, Rigel Mahmood, Ethan Rathbun, Marten van Dijk | Published: 2021-09-29
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
Excess Capacity and Backdoor Poisoning
Authors: Naren Sarayu Manoj, Avrim Blum | Published: 2021-09-02 | Updated: 2021-11-03
Machine Unlearning of Features and Labels
Authors: Alexander Warnecke, Lukas Pirch, Christian Wressnegger, Konrad Rieck | Published: 2021-08-26 | Updated: 2023-08-07
Advances in adversarial attacks and defenses in computer vision: A survey
Authors: Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah | Published: 2021-08-01 | Updated: 2021-09-02