Adversarial Training and Provable Robustness: A Tale of Two Objectives

13 August 2020

Papers citing "Adversarial Training and Provable Robustness: A Tale of Two Objectives"

14 / 14 papers shown

Title
Support is All You Need for Certified VAE Training Changming Xu Debangshu Banerjee Deepak Vasisht Gagandeep Singh AAML 44 0 0 16 Apr 2025
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 28 1 0 19 Oct 2024
On Using Certified Training towards Empirical Robustness Alessandro De Palma Serge Durand Zakaria Chihani François Terrier Caterina Urban OOD AAML 38 1 0 02 Oct 2024
Training Safe Neural Networks with Global SDP Bounds Roman Soletskyi David "davidad" Dalrymple AAML 23 0 0 15 Sep 2024
Blacksmith: Fast Adversarial Training of Vision Transformers via a Mixture of Single-step and Multi-step Methods Mahdi Salmani Alireza Dehghanpour Farashah Mohammad Azizmalayeri Mahdi Amiri Navid Eslami M. T. Manzuri M. Rohban AAML 24 1 0 29 Oct 2023
Expressive Losses for Verified Robustness via Convex Combinations Alessandro De Palma Rudy Bunel Krishnamurthy Dvijotham M. P. Kumar Robert Stanforth A. Lomuscio AAML 35 12 0 23 May 2023
Boosting Verified Training for Robust Image Classifications via Abstraction Zhaodi Zhang Zhiyi Xue Yang Chen Si Liu Yueling Zhang Jiaheng Liu Min Zhang 33 4 0 21 Mar 2023
TextDefense: Adversarial Text Detection based on Word Importance Entropy Lujia Shen Xuhong Zhang S. Ji Yuwen Pu Chunpeng Ge Xing Yang Yanghe Feng AAML 17 8 0 12 Feb 2023
Toward Robust Spiking Neural Network Against Adversarial Perturbation Ling Liang Kaidi Xu Xing Hu Lei Deng Yuan Xie AAML 29 13 0 12 Apr 2022
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 197 345 0 15 Dec 2021
On Adversarial Robustness: A Neural Architecture Search perspective Chaitanya Devaguptapu Devansh Agarwal Gaurav Mittal Pulkit Gopalani V. Balasubramanian OOD AAML 12 33 0 16 Jul 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma Liang Liang AAML 26 18 0 19 May 2020
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 249 1,838 0 03 Feb 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 293 3,110 0 04 Nov 2016