Adversarial and Clean Data Are Not Twins

17 April 2017

Papers citing "Adversarial and Clean Data Are Not Twins"

23 / 23 papers shown

Title
HOLMES: to Detect Adversarial Examples with Multiple Detectors Jing Wen AAML 46 0 0 30 May 2024
Certifying LLM Safety against Adversarial Prompting Aounon Kumar Chirag Agarwal Suraj Srinivas Aaron Jiaxun Li S. Feizi Himabindu Lakkaraju AAML 27 169 0 06 Sep 2023
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency Yan Wang Yuhang Li Ruihao Gong Aishan Liu Yanfei Wang ... Yongqiang Yao Yunchen Zhang Tianzi Xiao F. Yu Xianglong Liu AAML 37 0 0 01 Jul 2023
Provable Robustness for Streaming Models with a Sliding Window Aounon Kumar Vinu Sankar Sadasivan S. Feizi OOD AAML AI4TS 21 1 0 28 Mar 2023
Adversarial attacks and defenses in Speaker Recognition Systems: A survey Jiahe Lan Rui Zhang Zheng Yan Jie Wang Yu Chen Ronghui Hou AAML 24 23 0 27 May 2022
Self-recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks Jiawei Zhang Jinwei Wang Hao Wang X. Luo AAML 25 28 0 26 Apr 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective Yimeng Zhang Yuguang Yao Jinghan Jia Jinfeng Yi Min-Fong Hong Shiyu Chang Sijia Liu AAML 31 33 0 27 Mar 2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack Ye Liu Yaya Cheng Lianli Gao Xianglong Liu Qilong Zhang Jingkuan Song AAML 48 57 0 10 Mar 2022
White-Box Attacks on Hate-speech BERT Classifiers in German with Explicit and Implicit Character Level Defense Shahrukh Khan Mahnoor Shahid Navdeeppal Singh AAML 39 3 0 11 Feb 2022
Unsupervised Detection of Adversarial Examples with Model Explanations Gihyuk Ko Gyumin Lim AAML GAN 39 5 0 22 Jul 2021
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense Duhun Hwang Eunjung Lee Wonjong Rhee AAML 167 15 0 14 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 197 0 12 Jul 2021
Policy Smoothing for Provably Robust Reinforcement Learning Aounon Kumar Alexander Levine S. Feizi AAML 20 56 0 21 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 31 31 0 09 Jun 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection Zhijie Deng Xiao Yang Shizhen Xu Hang Su Jun Zhu BDL AAML 25 61 0 27 Mar 2021
Adversarial Classification: Necessary conditions and geometric flows Nicolas García Trillos Ryan W. Murray AAML 37 19 0 21 Nov 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 157 0 08 Sep 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 32 73 0 07 Aug 2020
Exploring the role of Input and Output Layers of a Deep Neural Network in Adversarial Defense Jay N. Paranjape R. Dubey Vijendran V. Gopalan AAML 31 2 0 02 Jun 2020
Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems Guangke Chen Sen Chen Lingling Fan Xiaoning Du Zhe Zhao Fu Song Yang Liu AAML 19 194 0 03 Nov 2019
Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction Bin Liang Hongcheng Li Miaoqiang Su Xirong Li Wenchang Shi Xiaofeng Wang AAML 14 216 0 23 May 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 312 3,115 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 359 5,849 0 08 Jul 2016