Trustworthy AI-Generative Content in Intelligent 6G Network: Adversarial, Privacy, and Fairness
Authors: Siyuan Li, Xi Lin, Yaju Liu, Jianhua Li | Published: 2024-05-09
バイアス
Evaluating and Mitigating Linguistic Discrimination in Large Language Models
Authors: Guoliang Dong, Haoyu Wang, Jun Sun, Xinyu Wang | Published: 2024-04-29 | Updated: 2024-05-10
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
Authors: Tianyu Guo, Sai Praneeth Karimireddy, Michael I. Jordan | Published: 2024-04-24
Can Biases in ImageNet Models Explain Generalization?
Authors: Paul Gavrikov, Janis Keuper | Published: 2024-04-01
De-amplifying Bias from Differential Privacy in Language Model Fine-tuning
Authors: Sanjari Srivastava, Piotr Mardziel, Zhikhun Zhang, Archana Ahlawat, Anupam Datta, John C Mitchell | Published: 2024-02-07
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)
Authors: Zeliang Kan, Shae McFadden, Daniel Arp, Feargus Pendlebury, Roberto Jordaney, Johannes Kinder, Fabio Pierazzi, Lorenzo Cavallaro | Published: 2024-02-02
Domain-Independent Deception: A New Taxonomy and Linguistic Analysis
Authors: Rakesh M. Verma, Nachum Dershowitz, Victor Zeng, Dainis Boumber, Xuting Liu | Published: 2024-02-01
Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features
Authors: Aku Kammonen, Lisi Liang, Anamika Pandey, Raúl Tempone | Published: 2024-02-01
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage
Authors: Ying Song, Balaji Palanisamy | Published: 2024-01-23 | Updated: 2025-01-26
X Hacking: The Threat of Misguided AutoML
Authors: Rahul Sharma, Sergey Redyuk, Sumantrak Mukherjee, Andrea Sipka, Sebastian Vollmer, David Selby | Published: 2024-01-16 | Updated: 2024-02-12