Conference Proceedings

Backdoors in Neural Models of Source Code
Goutham Ramakrishnan, Aws Albarghouthi
26th International Conference on Pattern Recognition (ICPR 2022)
(Also presented at the NLP4Prog Workshop at ACL-IJCNLP 2021)
Paper (IEEE)     arXiv     Code

Semantic Robustness of Models of Source Code
J Henkel*, G Ramakrishnan*, Z Wang, A Albarghouthi, S Jha, T Reps
29th Conference on Software Analysis, Evolution and Reengineering (SANER 2022)
Paper (IEEE)     Paper (PDF)     arXiv     Code

Towards Robustness to Label Noise in Text Classification via Noise Modeling
Siddhant Garg*, Goutham Ramakrishnan*, Varun Thumbe*
30th International Conference on Information and Knowledge Management (CIKM 2021)
(Also presented at the RobustML Workshop and S2D-OLAD Workshop at ICLR 2021)
Paper (ACM)     arXiv     Code

BAE: BERT-based Adversarial Examples for Text Classification
Siddhant Garg*, Goutham Ramakrishnan*
2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)
Paper (ACLWeb)     arXiv     Code     Video

Synthesizing Action Sequences for Modifying Model Decisions
Goutham Ramakrishnan*, Yun Chan Lee*, Aws Albarghouthi
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)
Paper (AAAI)     arXiv     Code

Interpretable Inference Graphs for Face Recognition
Siddhant Garg*, Goutham Ramakrishnan*, Varun Thumbe
International Conference on Image and Vision Computing New Zealand, 2019 (IVCNZ 2019)
Paper (IEEE)

Fast GPU-Enabled Color Normalization for Digital Pathology
Deepak Anand*, Goutham Ramakrishnan*, Amit Sethi
International Conference on Systems, Signals and Image Processing, 2019 (IWSSIP 2019)
Paper (IEEE)     arXiv     Code

Preprints

Towards Compliant Data Management Systems for Healthcare ML
Goutham Ramakrishnan, Aditya Nori, Hannah Murfet, Pashmina Cameron
Nov 2020
arXiv

Advances in Quantum Deep Learning: An Overview
Siddhant Garg*, Goutham Ramakrishnan*
May 2020
arXiv

*Equal Contribution by Authors