Is AmI (Attacks Meet Interpretability) Robust to Adversarial Examples?
No.
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MagNet and "Efficient Defenses..." were recently proposed as a defense t...
Recent works have empirically shown that there exist adversarial example...
Security-critical applications such as malware, fraud, or spam detection...
We present a novel method for generating symbolic adversarial examples: ...
It is widely known that convolutional neural networks (CNNs) are vulnera...
Transformer-based text classifiers like BERT, Roberta, T5, and GPT-3 hav...
Adversarial sample attacks perturb benign inputs to induce DNN misbehavi...