White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks

White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks

4 April 2019

Jonathan Berant

Papers citing "White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks"

10 / 10 papers shown

Title
Adversarial Testing for Visual Grounding via Image-Aware Property Reduction Zhiyuan Chang Mingyang Li Junjie Wang Cheng Li Boyu Wu Fanjiang Xu Qing Wang AAML 36 0 0 02 Mar 2024
Teacher-Student Architecture for Knowledge Distillation: A Survey Chengming Hu Xuan Li Danyang Liu Haolun Wu Xi Chen Ju Wang Xue Liu 21 16 0 08 Aug 2023
FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness Wenhao Wu Wei Li Jiachen Liu Xinyan Xiao Ziqiang Cao Sujian Li Hua-Hong Wu HILM 30 10 0 01 Nov 2022
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution Aiwei Liu Honghai Yu Xuming Hu Shuang Li Li Lin Fukun Ma Yawen Yang Lijie Wen 33 33 0 31 Oct 2022
Don't sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks Jonathan Rusert P. Srinivasan AAML 19 3 0 03 May 2022
Knowledge Distillation as Semiparametric Inference Tri Dao G. Kamath Vasilis Syrgkanis Lester W. Mackey 34 31 0 20 Apr 2021
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 19 2,843 0 09 Jun 2020
The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models Noah Weber L. Shekhar Niranjan Balasubramanian 98 30 0 03 May 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 196 711 0 17 Apr 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016