Accepted Work

Selected for an Oral Presentation

  • "FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification" - Xiaofeng Lin, Seungbae Kim, Jungseock Joo

  • "You Only Need a Good Embeddings Extractor to Fix Spurious Correlations" - Raghav Kiranbhai Mehta, Vitor Albiero, Li Chen, Ivan Evtimov, Tamar Glaser, Zhiheng Li, Tal Hassner

    • Poster Soon

  • "Generative Poisoning Using Random Discriminators" - Dirren van Vlijmen, Alex Kolmus, Zhuoran Liu, Zhengyu Zhao, Martha Larson



Short Paper Track

  • "Model Inversion Attacks: Pitfalls and Remedies" - Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Lingjie duan, Ngai-Man Cheung

  • "Gender Artifacts in Visual Datasets" - Dorothy Zhao, Nicole Meister, Angelina Wang, Vikram V. Ramaswamy, Ruth C. Fong, Olga Russakovsky

  • "Inspecting Explainability of Transformer Models with Additional Statistical Information" - Hoang Canh Nguyen, Haeil Lee, Junmo Kim

  • "AttrFusedNet - Attribute Fusion for Privacy Preserving Pedestrian Tracking" - Anil Kunchala, Melanie Bouroche, Bianca Schoen-Phelan

  • "Discovering and Mitigating Biases in CLIP-based Text-to-Image Generation" - Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison Cottrell

  • "Demographic Disparities in Zero-shot Vision Tasks" - Melissa Hall, Laura Gustafson, Aaron Adcock, Candace Ross, Ishan Misra

  • "On Biased Behavior of GANs for Face Verification" - Sasikanth Kotti, Mayank Vatsa, Richa Singh

  • "Rethinking Aggregation: Federated Learning with the Imbalance in Data Size among Clients" - Sy-Tuyen Ho, Ngai-Man Cheung



Extended Abstracts

  • "Membership Inference Attack Using Self Influence Functions" - Gilad Cohen, Raja Giryes

  • "Human-Centric Visual Diversity Auditing" - Jerone T. A. Andrews, Przemyslaw Joniak, Alice Xiang

  • "Men Also Do Laundry: Multi-Attribute Bias Amplification" - Dora Zhao, Jerone T. A. Andrews, Alice Xiang