Exploring Grm 237 Efficient Defense Against Adversarial Patch Attacks
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- Authors: Xu, Ke*; Xiao, Yao; Zheng, Zhaoheng; Cai, Kaijie; Nevatia, Ram Description:
- Following the recent adoption of deep neural networks (DNN) in a wide range of application fields,
- Object detection plays an important role in security-critical systems such as autonomous vehicles but has shown to be vulnerable ...
- Deep Neural Network Robustness course:
- github.com/AlexisMotet/Attacking_JetBot.
In-Depth Information on Grm 237 Efficient Defense Against Adversarial Patch Attacks
Full Title: USENIX Security '22 - PatchCleanser: Certifiably Robust Authors: Erik Scheurer; Jenny Schmalfuss; Alexander Lis; Andrés Bruhn Description: A real-world
Defense
In summary, understanding Grm 237 Efficient Defense Against Adversarial Patch Attacks gives us a better perspective.
