DeepRover: A Query-Efficient Blackbox Attack for Deep Neural Networks
Author:
Affiliation:
1. Kyushu University, Fukuoka, Japan
2. Hunan Normal University, Changsha, China
3. The University of Tokyo, Tokyo, Japan / University of Alberta, Edmonton, Canada
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3611643.3616370
Reference55 articles.
1. Abdullah Al-Dujaili and Una-May O’Reilly. 2020. Sign Bits Are All You Need for Black-Box Attacks. In ICLR. Abdullah Al-Dujaili and Una-May O’Reilly. 2020. Sign Bits Are All You Need for Black-Box Attacks. In ICLR.
2. Square Attack: A Query-Efficient Black-Box Adversarial Attack via Random Search
3. Practical Black-Box Attacks on Deep Neural Networks Using Efficient Query Mechanisms
4. Wieland Brendel Jonas Rauber and Matthias Bethge. 2018. Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models. In ICLR. OpenReview.net. Wieland Brendel Jonas Rauber and Matthias Bethge. 2018. Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models. In ICLR. OpenReview.net.
5. Towards Evaluating the Robustness of Neural Networks
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