Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning
Authors: K Naveen Kumar, C Krishna Mohan, Aravind Machiry | Published: 2024-04-05
Poisoning
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
Authors: Yuxin Wen, Leo Marchyok, Sanghyun Hong, Jonas Geiping, Tom Goldstein, Nicholas Carlini | Published: 2024-04-01
A Backdoor Approach with Inverted Labels Using Dirty Label-Flipping Attacks
Authors: Orson Mengara | Published: 2024-03-29 | Updated: 2024-04-07
Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharing
Authors: Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, Stefan Werner | Published: 2024-03-19 | Updated: 2024-08-16
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency
Authors: Soumyadeep Pal, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu | Published: 2024-03-15
Visual Privacy Auditing with Diffusion Models
Authors: Kristian Schwethelm, Johannes Kaiser, Moritz Knolle, Daniel Rueckert, Georgios Kaissis, Alexander Ziller | Published: 2024-03-12
Poisoning Programs by Un-Repairing Code: Security Concerns of AI-generated Code
Authors: Cristina Improta | Published: 2024-03-11
Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains
Authors: Nikita Tsoy, Anna Mihalkova, Teodora Todorova, Nikola Konstantinov | Published: 2024-03-11 | Updated: 2024-11-07
Fake or Compromised? Making Sense of Malicious Clients in Federated Learning
Authors: Hamid Mozaffari, Sunav Choudhary, Amir Houmansadr | Published: 2024-03-10
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation
Authors: Zahir Alsulaimawi | Published: 2024-03-05