List of Publications

For an up-to-date list, check out my Google Scholar Profile.

• Yadav C., Roy Chowdhury A., Boneh D., Chaudhuri K. FairProof : Confidential and Certifiable Fairness for Neural Networks (PDF) (Under Submission)

• Baldini I., Yadav C., et.al. Keeping Up with the Language Models: Systematic Benchmark Extension for Bias Auditing (PDF) (Under Submission)

• Yadav C., Moshkovitz M., Chaudhuri K., A Learning-Theoretic Framework for Certified Auditing of Machine Learning Models (PDF) (Under Submission)

• 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