List of Publications
For an up-to-date list, check out my Google Scholar Profile.
Yadav C.*, Wu R.*, Chaudhuri K., Influence-based Attributions can be Manipulated (PDF) (Under Submission)
Yadav C., Roy Chowdhury A., Boneh D., Chaudhuri K. FairProof : Confidential and Certifiable Fairness for Neural Networks (PDF) (Code)(ICML 2024, TensorOpera-FedML Best Paper Award @Privacy-ILR Workshop ICLR 2024)
Baldini I., Yadav C., et.al. Keeping Up with the Language Models: Systematic Benchmark Extension for Bias Auditing (PDF) (TrustNLP @NAACL 2023)
Yadav C., Moshkovitz M., Chaudhuri K., A Learning-Theoretic Framework for Certified Auditing of Machine Learning Models (PDF) (TMLR 2024, Oral @TrustAI Workshop IJCAI 2024)
Yadav C., Chaudhuri K., Behavior of k-NN as an Instance-Based Explanation Method (Oral Presentation) (PDF)
Full paper at Advances in Interpretable Machine Learning and Artificial Intelligence @ ECML PKDD 2021
Yadav C., Bottou L., Cold Case : The Lost MNIST Digits (Spotlight Oral Presentation ~2.9%)
Full paper at NeurIPS 2019
Liu S., Yadav C. et. al. On the design of CNNs for automatic detection of Alzheimer’s disease (Best Paper Honorable Mention)
Full paper at Machine Learning for Health Workshop , NeurIPS 2019
Yadav C. et. al. Using Brain MRI Images to predict Memory, BMI & Age
4-page, IEEE HCC 2019