Trustworthy Machine Learning

• Generating Deep Networks Explanations with Robust Attribution Alignment
  Guohang Zeng (The University of Melbourne)*; Yousef Kowsar (The University of Melbourne); Sarah Erfani (University of Melbourne); James Bailey (THE UNIVERSITY OF MELBOURNE)
• Bias-Tolerant Fair Classification
  Yixuan Zhang ( University of Technology Sydney)*; Feng Zhou (Tsinghua University); Zhidong Li (UTS); Yang Wang (UTS); Fang Chen (UTS)
• PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients
  Zichen Ma (The Chinese University of Hong Kong, Shenzhen)*; Yu Lu (The Chinese University of Hong Kong, Shenzhen); Wenye Li (The Chinese University of Hong Kong, Shenzhen); Jinfeng Yi (JD AI Research); Shuguang Cui (The Chinese University of Hong Kong, Shenzhen )
• Beyond L_p clipping: Equalization based Psychoacoustic Attacks against ASRs
  Hadi Abdullah (University of Florida)*; Muhammad Sajidur Rahman (University of Florida); Christian Peeters (University of Florida); Cassidy L Gibson (University of Florida); Washington Garcia (University of Florida); Vincent Bindschaedler (University of Florida); Thomas Shrimpton (University of Florida); Patrick G Traynor (University of Florida)
• A Causal Approach for Unfair Edge Prioritization and Discrimination Removal
  Pavan Ravishankar (IIT Madras)*; Pranshu Malviya (Indian Institute of Technology, Madras); Balaraman Ravindran (Indian Institute of Technology, Madras)
• Fairness constraint of Fuzzy C-means Clustering improves clustering fairness
  Xia Xu (Southwest University of Science and Technology)*; hui zhang (Southwest University of Science and Technology); Chunming Yang (Southwest University of Science and Technology); xujian zhao (Southwest University of Science and Technology); Bo Li (Southwest University of Science and Technology)
• A Mutual Information Regularization for Adversarial training
  Modeste Atsague (Iowa State University)*; Olukorede J Fakorede (Iowa State University ); Jin Tian (Iowa State University)
• Calibrated Adversarial Training
  Tianjin Huang (Eindhoven University of Technology)*; Vlado Menkovski (Eindhoven University of Technology); Yulong Pei (TU Eindhoven); Mykola Pechenizkiy (TU Eindhoven)