Jasjeet Dhaliwal
Jasjeet Dhaliwal
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Title
Cited by
Cited by
Year
Verifying that the influence of a user data point has been removed from a machine learning classifier
S Shintre, J Dhaliwal
US Patent 10,225,277, 2019
52019
Gradient similarity: An explainable approach to detect adversarial attacks against deep learning
J Dhaliwal, S Shintre
arXiv preprint arXiv:1806.10707, 2018
42018
Making Machine Learning Forget
S Shintre, KA Roundy, J Dhaliwal
Annual Privacy Forum, 72-83, 2019
22019
DAEs for Linear Inverse Problems: Improved Recovery with Provable Guarantees
J Dhaliwal, K Hambrook
arXiv preprint arXiv:2101.05130, 2021
2021
Compressive Recovery Defense: Defending Neural Networks Against ℓ2, ℓ, and ℓ0 Norm Attacks
J Dhaliwal, K Hambrook
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
2020
Adversarial Campaign Mitigation via ROC-Centric Prognostics
J Echauz, K Kenemer, S Hussein, J Dhaliwal, S Shintre, S Grzonkowski, ...
Annual Conference of the PHM Society 11 (1), 2019
2019
Verifying that the influence of a user data point has been removed from a machine learning classifier
S Shintre, J Dhaliwal
US Patent 10,397,266, 2019
2019
Recovery Guarantees for Compressible Signals with Adversarial Noise
J Dhaliwal, K Hambrook
arXiv preprint arXiv:1907.06565, 2019
2019
Utility Preserving Secure Private Data Release
J Dhaliwal, G So, A Parker-Wood, M Beck
arXiv preprint arXiv:1901.09858, 2019
2019
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