Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval

22 March 2023

Papers citing "Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval"

10 / 10 papers shown

Title
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching Khoa D. Doan Peng Yang Ping Li MQ 52 37 0 31 May 2022
Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing Xunguang Wang Zheng Zhang Baoyuan Wu Fumin Shen Guangming Lu AAML GAN 89 45 0 17 May 2021
Central Similarity Quantization for Efficient Image and Video Retrieval Li-xin Yuan Tao Wang Xiaopeng Zhang Francis E. H. Tay Zequn Jie Wei Liu Jiashi Feng 67 284 0 01 Aug 2019
Evasion Attacks against Machine Learning at Test Time Battista Biggio Igino Corona Davide Maiorca B. Nelson Nedim Srndic Pavel Laskov Giorgio Giacinto Fabio Roli AAML 109 2,142 0 21 Aug 2017
Deep Supervised Discrete Hashing Qi Li Zhenan Sun Ran He Tieniu Tan 64 298 0 31 May 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 458 3,124 0 04 Nov 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 193 8,513 0 16 Aug 2016
A Survey on Learning to Hash Jingdong Wang Ting Zhang Jingkuan Song N. Sebe Heng Tao Shen 89 969 0 01 Jun 2016
Fast R-CNN Ross B. Girshick ObjD 284 24,976 0 30 Apr 2015
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 211 14,831 1 21 Dec 2013