most citedData-free Defense of Black Box Models Against Adversarial Attacks

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.CV2023

DAD++: Improved Data-free Test Time Adversarial Defense

Gaurav Kumar Nayak, Inder Khatri, Shubham Randive +2

With the increasing deployment of deep neural networks in safety-critical applications such as self-driving cars, medical imaging, anomaly detection, etc., adversarial robustness h…

cs.LG2022★ 1 cited

Data-free Defense of Black Box Models Against Adversarial Attacks

Gaurav Kumar Nayak, Inder Khatri, Ruchit Rawal +1

Several companies often safeguard their trained deep models (i.e., details of architecture, learnt weights, training details etc.) from third-party users by exposing them only as b…