Analyzing Federated Learning through an Adversarial Lens
Authors: Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin Calo | Published: 2018-11-29 | Updated: 2019-11-25
ポイズニング
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning
Authors: Florian Tramèr, Pascal Dupré, Gili Rusak, Giancarlo Pellegrino, Dan Boneh | Published: 2018-11-08 | Updated: 2019-08-26
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks
Authors: Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique | Published: 2018-11-02 | Updated: 2020-05-14
Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks
Authors: Davide Maiorca, Battista Biggio, Giorgio Giacinto | Published: 2018-11-02 | Updated: 2020-04-14
Stronger Data Poisoning Attacks Break Data Sanitization Defenses
Authors: Pang Wei Koh, Jacob Steinhardt, Percy Liang | Published: 2018-11-02 | Updated: 2021-12-03
Learning with Bad Training Data via Iterative Trimmed Loss Minimization
Authors: Yanyao Shen, Sujay Sanghavi | Published: 2018-10-28 | Updated: 2019-02-18
Exploring Adversarial Examples in Malware Detection
Authors: Octavian Suciu, Scott E. Coull, Jeffrey Johns | Published: 2018-10-18 | Updated: 2019-04-13
Neural Networks with Structural Resistance to Adversarial Attacks
Authors: Luca de Alfaro | Published: 2018-09-25
Poisoning Attacks to Graph-Based Recommender Systems
Authors: Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, Jia Liu | Published: 2018-09-11
Universal Multi-Party Poisoning Attacks
Authors: Saeed Mahloujifar, Mohammad Mahmoody, Ameer Mohammed | Published: 2018-09-10 | Updated: 2021-11-10