Adversarial Robustness of Convolutional Models Learned in the Frequency DomainSUBHAJIT CHAUDHURYToshihiko Yamasaki2024ICASSP 2024
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMMChulin XiePin-Yu Chenet al.2024IEEE SaTML 2024
Creating an African American-Sounding TTS: Guidelines, Technical Challenges, and Surprising EvaluationsClaudio Santos PinhanezRaul Fernandezet al.2024IUI 2024
PROMINET: Prototype-based Multi-View Network for Interpretable Email Response PredictionYuqing WangPrashanth Vijayaraghavanet al.2023EMNLP 2023
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain AdaptationJiajin ZhangHanqing Chaoet al.2023MICCAI 2023
Adversarial Auditing of Machine Learning Models under Compound ShiftKaran BhanotDennis Weiet al.2023ESANN 2023
Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow NetworksHannah KimCelia Cintaset al.2023IJCAI 2023
Balancing Social Impact, Opportunities, and Ethical Constraints of Using AI in the Documentation and Vitalization of Indigenous LanguagesClaudio S. PinhanezPaulo Cavalinet al.2023IJCAI 2023
Stress-Testing Bias Mitigation Algorithms to Understand Fairness VulnerabilitiesKaran BhanotIoana Baldiniet al.2023AIES 2023