Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning. - Jasjeet Dhaliwal; Saurabh Shintre (CoRR, 2018)

Making Machine Learning Forget. - Saurabh Shintre; Kevin A. Roundy; Jasjeet Dhaliwal (APF, 2019)

Utility Preserving Secure Private Data Release. - Jasjeet Dhaliwal; Geoffrey So; Aleatha Parker-Wood; Mélanie Beck (CoRR, 2019)

Recovery Guarantees for Compressible Signals with Adversarial Noise. - Jasjeet Dhaliwal; Kyle Hambrook (CoRR, 2019)

Compressive Recovery Defense: Defending Neural Networks Against ℓ2, ℓ∞, and ℓ0 Norm Attacks. - Jasjeet Dhaliwal; Kyle Hambrook (IJCNN, 2020)

DAEs for Linear Inverse Problems: Improved Recovery with Provable Guarantees. - Jasjeet Dhaliwal; Kyle Hambrook (VISIGRAPP (4: VISAPP), 2022)