EvoAttack: An Evolutionary Search-Based Adversarial Attack for Object Detection Models

Author:

Chan KennethORCID,Cheng Betty H. C.ORCID

Publisher

Springer International Publishing

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-objective differential evolution in the generation of adversarial examples;Science of Computer Programming;2024-12

2. SafeDriveRL: Combining Non-cooperative Game Theory with Reinforcement Learning to Explore and Mitigate Human-based Uncertainty for Autonomous Vehicles;Proceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems;2024-04-15

3. Expound: A Black-Box Approach for Generating Diversity-Driven Adversarial Examples;Search-Based Software Engineering;2023-12-04

4. On the Strengths of Pure Evolutionary Algorithms in Generating Adversarial Examples;2023 IEEE/ACM International Workshop on Search-Based and Fuzz Testing (SBFT);2023-05

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