Picture for Pratik Vaishnavi

Pratik Vaishnavi

Taking off the Rose-Tinted Glasses: A Critical Look at Adversarial ML Through the Lens of Evasion Attacks

Add code
Oct 15, 2024
Figure 1 for Taking off the Rose-Tinted Glasses: A Critical Look at Adversarial ML Through the Lens of Evasion Attacks
Figure 2 for Taking off the Rose-Tinted Glasses: A Critical Look at Adversarial ML Through the Lens of Evasion Attacks
Figure 3 for Taking off the Rose-Tinted Glasses: A Critical Look at Adversarial ML Through the Lens of Evasion Attacks
Figure 4 for Taking off the Rose-Tinted Glasses: A Critical Look at Adversarial ML Through the Lens of Evasion Attacks
Viaarxiv icon

Accelerating Certified Robustness Training via Knowledge Transfer

Add code
Oct 25, 2022
Viaarxiv icon

Ares: A System-Oriented Wargame Framework for Adversarial ML

Add code
Oct 24, 2022
Viaarxiv icon

Transferring Adversarial Robustness Through Robust Representation Matching

Add code
Feb 21, 2022
Figure 1 for Transferring Adversarial Robustness Through Robust Representation Matching
Figure 2 for Transferring Adversarial Robustness Through Robust Representation Matching
Figure 3 for Transferring Adversarial Robustness Through Robust Representation Matching
Figure 4 for Transferring Adversarial Robustness Through Robust Representation Matching
Viaarxiv icon

Can Attention Masks Improve Adversarial Robustness?

Add code
Dec 21, 2019
Figure 1 for Can Attention Masks Improve Adversarial Robustness?
Figure 2 for Can Attention Masks Improve Adversarial Robustness?
Figure 3 for Can Attention Masks Improve Adversarial Robustness?
Figure 4 for Can Attention Masks Improve Adversarial Robustness?
Viaarxiv icon

Transferable Adversarial Robustness using Adversarially Trained Autoencoders

Add code
Sep 12, 2019
Figure 1 for Transferable Adversarial Robustness using Adversarially Trained Autoencoders
Figure 2 for Transferable Adversarial Robustness using Adversarially Trained Autoencoders
Figure 3 for Transferable Adversarial Robustness using Adversarially Trained Autoencoders
Figure 4 for Transferable Adversarial Robustness using Adversarially Trained Autoencoders
Viaarxiv icon