494 citations · 676 across the 8 of their papers we have counts for
5 papers · 1 filter
Towards Compliant Data Management Systems for Healthcare ML
Goutham Ramakrishnan, Aditya Nori, Hannah Murfet +1
The increasing popularity of machine learning approaches and the rising awareness of data protection and data privacy presents an opportunity to build truly secure and trustworthy…
Backdoors in Neural Models of Source Code
Goutham Ramakrishnan, Aws Albarghouthi
Deep neural networks are vulnerable to a range of adversaries. A particularly pernicious class of vulnerabilities are backdoors, where model predictions diverge in the presence of…
Advances in Quantum Deep Learning: An Overview
Siddhant Garg, Goutham Ramakrishnan
The last few decades have seen significant breakthroughs in the fields of deep learning and quantum computing. Research at the junction of the two fields has garnered an increasing…
BAE: BERT-based Adversarial Examples for Text Classification
Siddhant Garg, Goutham Ramakrishnan
Modern text classification models are susceptible to adversarial examples, perturbed versions of the original text indiscernible by humans which get misclassified by the model. Rec…
Semantic Robustness of Models of Source Code
Goutham Ramakrishnan, Jordan Henkel, Zi Wang +3
Deep neural networks are vulnerable to adversarial examples - small input perturbations that result in incorrect predictions. We study this problem for models of source code, where…