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
Poisoning
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
Mitigating Label Flipping Attacks in Malicious URL Detectors Using Ensemble Trees
Authors: Ehsan Nowroozi, Nada Jadalla, Samaneh Ghelichkhani, Alireza Jolfaei | Published: 2024-03-05
Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks
Authors: Ehsan Nowroozi, Imran Haider, Rahim Taheri, Mauro Conti | Published: 2024-03-05
Enhancing Data Provenance and Model Transparency in Federated Learning Systems — A Database Approach
Authors: Michael Gu, Ramasoumya Naraparaju, Dongfang Zhao | Published: 2024-03-03
Analysis of Privacy Leakage in Federated Large Language Models
Authors: Minh N. Vu, Truc Nguyen, Tre' R. Jeter, My T. Thai | Published: 2024-03-02