Data Poisoning Attacks Against Federated Learning Systems
Authors: Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu | Published: 2020-07-16 | Updated: 2020-08-11
攻撃手法
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows
Authors: Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie | Published: 2020-07-15 | Updated: 2020-10-23
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training
Authors: Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar | Published: 2020-07-14
Security and Machine Learning in the Real World
Authors: Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li | Published: 2020-07-13
A simple defense against adversarial attacks on heatmap explanations
Authors: Laura Rieger, Lars Kai Hansen | Published: 2020-07-13
Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes
Authors: Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter | Published: 2020-07-13 | Updated: 2021-06-11
ManiGen: A Manifold Aided Black-box Generator of Adversarial Examples
Authors: Guanxiong Liu, Issa Khalil, Abdallah Khreishah, Abdulelah Algosaibi, Adel Aldalbahi, Mohammed Alaneem, Abdulaziz Alhumam, Mohammed Anan | Published: 2020-07-11
Generating Adversarial Inputs Using A Black-box Differential Technique
Authors: João Batista Pereira Matos Juúnior, Lucas Carvalho Cordeiro, Marcelo d'Amorim, Xiaowei Huang | Published: 2020-07-10
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Authors: Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris Papailiopoulos | Published: 2020-07-09
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Authors: Avi Schwarzschild, Micah Goldblum, Arjun Gupta, John P Dickerson, Tom Goldstein | Published: 2020-06-22 | Updated: 2021-06-17