Black-box adversarial attacks using Evolution Strategies

30 April 2021

Papers citing "Black-box adversarial attacks using Evolution Strategies"

6 / 6 papers shown

Title
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data PoisoningInternational Conference on Learning Representations (ICLR), 2024 Yongyi Su Yushu Li Nanqing Liu Kui Jia Xulei Yang Chuan-Sheng Foo Xun Xu TTA AAML 413 2 0 07 Oct 2024
Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances Emma Hart Quentin Renau Kevin Sim M. Alissa AAML 174 0 0 24 Jun 2024
EGAN: Evolutional GAN for Ransomware Evasion Daniel Commey Benjamin Appiah B. K. Frimpong Isaac Osei Ebenezer N. A. Hammond Garth V. Crosby AAML GAN 146 1 0 20 May 2024
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning ModelsInternational Conference on Learning Representations (ICLR), 2022 Viet Vo Ehsan Abbasnejad Damith C. Ranasinghe AAML 287 15 0 31 Jan 2022
When and How to Fool Explainable Models (and Humans) with Adversarial Examples Jon Vadillo Roberto Santana Jose A. Lozano SILM AAML 209 20 0 05 Jul 2021
GreedyFool: Multi-Factor Imperceptibility and Its Application to Designing a Black-box Adversarial Attack Hui Liu Bo Zhao Minzhi Ji Peng Liu AAML 173 8 0 14 Oct 2020