Using Decentralized Aggregation for Federated Learning with Differential Privacy
Authors: Hadeel Abd El-Kareem, Abd El-Moaty Saleh, Ana Fernández-Vilas, Manuel Fernández-Veiga, asser El-Sonbaty | Published: 2023-11-27
Experimental Validation
Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications
Authors: Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran | Published: 2023-11-07 | Updated: 2023-11-29
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data
Authors: Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan Lavista Ferres, Rafael de Sousa | Published: 2023-10-30
Assessing Robustness via Score-Based Adversarial Image Generation
Authors: Marcel Kollovieh, Lukas Gosch, Yan Scholten, Marten Lienen, Stephan Günnemann | Published: 2023-10-06
Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments
Authors: Maria Rigaki, Ondřej Lukáš, Carlos A. Catania, Sebastian Garcia | Published: 2023-08-23 | Updated: 2023-08-28
An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph
Authors: Nafis Tanveer Islam, Gonzalo De La Torre Parra, Dylan Manuel, Elias Bou-Harb, Peyman Najafirad | Published: 2023-04-17
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence
Authors: Hanbin Hong, Xinyu Zhang, Binghui Wang, Zhongjie Ba, Yuan Hong | Published: 2023-04-10 | Updated: 2024-09-06
Inductive Graph Unlearning
Authors: Cheng-Long Wang, Mengdi Huai, Di Wang | Published: 2023-04-06 | Updated: 2023-04-07
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction
Authors: Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala | Published: 2022-09-02
Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?
Authors: Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu | Published: 2022-09-02