Interpretable Inference Graphs for Face Recognition. - Siddhant Garg; Goutham Ramakrishnan; Varun Thumbe (IVCNZ, 2019)

Fast GPU-Enabled Color Normalization for Digital Pathology. - Deepak Anand; Goutham Ramakrishnan; Amit Sethi (IWSSIP, 2019)

Synthesizing Action Sequences for Modifying Model Decisions. - Goutham Ramakrishnan; Yun Chan Lee; Aws Albarghouthi (AAAI, 2020)

BAE: BERT-based Adversarial Examples for Text Classification. - Siddhant Garg; Goutham Ramakrishnan (EMNLP (1), 2020)

Advances in Quantum Deep Learning: An Overview. - Siddhant Garg; Goutham Ramakrishnan (CoRR, 2020)

Towards Compliant Data Management Systems for Healthcare ML. - Goutham Ramakrishnan; Aditya Nori; Hannah Murfet; Pashmina Cameron (CoRR, 2020)

Towards Robustness to Label Noise in Text Classification via Noise Modeling. - Siddhant Garg; Goutham Ramakrishnan; Varun Thumbe (CIKM, 2021)

Backdoors in Neural Models of Source Code. - Goutham Ramakrishnan; Aws Albarghouthi (ICPR, 2022)

Semantic Robustness of Models of Source Code. - Jordan Henkel; Goutham Ramakrishnan; Zi Wang; Aws Albarghouthi; Somesh Jha; Thomas W. Reps (SANER, 2022)