Accepted Papers
List of accepted papers
Face Recognition: Too Bias, or Not Too Bias?
Joseph P Robinson, Yun Fu, Yann Henon, Gennady Livitz, Can Qin, Samson Timoner
How Sensitive are Interpretability Methods to Hyperparameters?
Naman Bansal , Chirag Agarwal, Anh Nguyen
Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off
Yukun Ding, Jinglan Liu, Jinjun Xiong, Yiyu Shi
An Analytical Framework for Trusted Machine Learning and Computer Vision Running with Blockchain
Tao X Wang, Maggie Du, Xinmin Wu, Taiping He
Identity Preserve Transform: Understand What Activity Classification Models Have Learnt
Jialing Lyu, Weichao Qiu
Interpreting Interpretations: Organizing Attribution Methods by Criteria
Zifan Wang, Piotr Mardziel, Matt Fredrikson, Anupam Datta
Explaining Failure: Investigation of Surprise and Expectation in CNNs
Thomas Hartley, Kirill Sidorov, Chris Willis, David Marshall
Enhancing Face Dataset Diversity with Style-based Face Aging
Markos Georgopoulos, James A Oldfield, Mihalis A Nicolaou, Yannis Panagakis, Maja Pantic
Adversarial Representation Learning With Closed-Form Solvers
Bashir Sadeghi, Lan Wang, Vishnu Boddeti
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation
Seyma Yucer, Samet Akcay, Noura Al Moubayed, Toby Breckon
Minimizing Supervision in Multi-label Categorization
Rajat , Munender Varshney, Pravendra Singh, Vinay P Namboodiri
DNDNet: Reconfigured CNN for Adversarial Robustness
Akhil Goel, Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini Ratha
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Xia Hu, Piotr Mardziel
Biometric Anonymization for Fingerphoto Images from Social Media
Aakarsh Malhotra, Saheb Chhabra, Mayank Vatsa, Richa Singh
Understanding Biases in Multimodal AI: Case Study in Automated Recruitment
Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fierrez
e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations
Virginie Do, Oana-Maria Camburu, Zeynep Akata ,Thomas Lukasiewicz
Plug-And-Pipeline: Efficient Regularization for Single-Step Adversarial Training
Vivek B S, Ambareesh Revanur, Naveen Venkat, Venkatesh Babu Radhakrishnan,
Attribute Aware Filter-Drop for Bias Invariant Classification
Shruti Nagpal, Maneet Singh, Richa Singh, Mayank Vatsa ,
Privacy Enhanced Decision Tree Inference
Kanthi K Sarpatwar, Nalini Ratha, Karthik Nandakumar, Karthikeyan Shanmugam, James Rayfield, Sharath Pankanti, Roman Vaculin