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