Evaluating and Mitigating LLM-as-a-judge Bias in Communication Systems
Authors: Jiaxin Gao, Chen Chen, Yanwen Jia, Xueluan Gong, Kwok-Yan Lam, Qian Wang | Published: 2025-10-14
バイアス
Fairness-Constrained Optimization Attack in Federated Learning
Authors: Harsh Kasyap, Minghong Fang, Zhuqing Liu, Carsten Maple, Somanath Tripathy | Published: 2025-10-14
Taming Data Challenges in ML-based Security Tasks: Lessons from Integrating Generative AI
Authors: Shravya Kanchi, Neal Mangaokar, Aravind Cheruvu, Sifat Muhammad Abdullah, Shirin Nilizadeh, Atul Prakash, Bimal Viswanath | Published: 2025-07-08
PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER)
Authors: Gonzalo Mancera, Aythami Morales, Julian Fierrez, Ruben Tolosana, Alejandro Penna, Miguel Lopez-Duran, Francisco Jurado, Alvaro Ortigosa | Published: 2025-06-30 | Updated: 2025-07-09
Breaking Out from the TESSERACT: Reassessing ML-based Malware Detection under Spatio-Temporal Drift
Authors: Theo Chow, Mario D'Onghia, Lorenz Linhardt, Zeliang Kan, Daniel Arp, Lorenzo Cavallaro, Fabio Pierazzi | Published: 2025-06-30
Trustworthy AI: Safety, Bias, and Privacy — A Survey
Authors: Xingli Fang, Jianwei Li, Varun Mulchandani, Jung-Eun Kim | Published: 2025-02-11 | Updated: 2025-06-11
Unveiling Provider Bias in Large Language Models for Code Generation
Authors: Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Qingshuang Bao, Weipeng Jiang, Chao Shen, Yang Liu | Published: 2025-01-14
Fundamental Limits in the Search for Less Discriminatory Algorithms — and How to Avoid Them
Authors: Benjamin Laufer, Manisch Raghavan, Solon Barocas | Published: 2024-12-24
SoK: Towards Security and Safety of Edge AI
Authors: Tatjana Wingarz, Anne Lauscher, Janick Edinger, Dominik Kaaser, Stefan Schulte, Mathias Fischer | Published: 2024-10-07
Fooling SHAP with Output Shuffling Attacks
Authors: Jun Yuan, Aritra Dasgupta | Published: 2024-08-12