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
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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
Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection
Authors: Luping Liu, Yi Ren, Xize Cheng, Rongjie Huang, Chongxuan Li, Zhou Zhao | Published: 2022-11-21 | Updated: 2023-06-04
On the Alignment of Group Fairness with Attribute Privacy
Authors: Jan Aalmoes, Vasisht Duddu, Antoine Boutet | Published: 2022-11-18 | Updated: 2024-03-05
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
Authors: Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Zhongliang Yang, Yongfeng Huang, Xing Xie | Published: 2022-06-07 | Updated: 2022-10-31
Toward More Generalized Malicious URL Detection Models
Authors: YunDa Tsai, Cayon Liow, Yin Sheng Siang, Shou-De Lin | Published: 2022-02-21 | Updated: 2024-02-09