Generating Natural Adversarial Examples

31 October 2017

Papers citing "Generating Natural Adversarial Examples"

50 / 324 papers shown

Title
Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation Wenyuan Wu Zheng Liu Yong Chen Chao Su Dezhong Peng Xu Wang AAML 37 0 0 24 Feb 2025
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks Yang Wang Chenghua Lin ELM 35 0 0 05 Jan 2025
BinarySelect to Improve Accessibility of Black-Box Attack Research Shatarupa Ghosh Jonathan Rusert AAML 74 0 0 13 Dec 2024
Rethinking Visual Counterfactual Explanations Through Region Constraint Bartlomiej Sobieski Jakub Grzywaczewski Bartlomiej Sadlej Matthew Tivnan P. Biecek CML 43 0 0 16 Oct 2024
Natural Language Induced Adversarial Images Xiaopei Zhu Peiyang Xu Guanning Zeng Yingpeng Dong Xiaolin Hu AAML 28 0 0 11 Oct 2024
SCA: Highly Efficient Semantic-Consistent Unrestricted Adversarial Attack Zihao Pan Weibin Wu Yuhang Cao Zibin Zheng DiffM AAML 60 1 0 03 Oct 2024
Explaining an image classifier with a generative model conditioned by uncertainty Adrien Le Coz Stéphane Herbin Faouzi Adjed 34 0 0 02 Oct 2024
Legilimens: Practical and Unified Content Moderation for Large Language Model Services Jialin Wu Jiangyi Deng Shengyuan Pang Yanjiao Chen Jiayang Xu Xinfeng Li Wenyuan Xu 34 6 0 28 Aug 2024
Deep Learning with Data Privacy via Residual Perturbation Wenqi Tao Huaming Ling Zuoqiang Shi Bao Wang 21 2 0 11 Aug 2024
E-Bench: Towards Evaluating the Ease-of-Use of Large Language Models Zhenyu Zhang Bingguang Hao Jinpeng Li Zekai Zhang Dongyan Zhao 31 0 0 16 Jun 2024
A Constraint-Enforcing Reward for Adversarial Attacks on Text Classifiers Tom Roth Inigo Jauregi Unanue A. Abuadbba Massimo Piccardi AAML SILM 21 1 0 20 May 2024
On Adversarial Examples for Text Classification by Perturbing Latent Representations Korn Sooksatra Bikram Khanal Pablo Rivas SILM AAML 27 3 0 06 May 2024
Is ReLU Adversarially Robust? Korn Sooksatra Greg Hamerly Pablo Rivas 14 3 0 06 May 2024
Global Counterfactual Directions Bartlomiej Sobieski P. Biecek DiffM 56 5 0 18 Apr 2024
Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial Datasets Shadi Manafi Nikhil Krishnaswamy AAML 40 0 0 29 Mar 2024
Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization Yujia Liu Chenxi Yang Dingquan Li Jianhao Ding Tingting Jiang 21 3 0 18 Mar 2024
Universal Prompt Optimizer for Safe Text-to-Image Generation Zongyu Wu Hongcheng Gao Yueze Wang Xiang Zhang Suhang Wang EGVM 10 9 0 16 Feb 2024
Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models! Shashank Kotyan Poyuan Mao Pin-Yu Chen Danilo Vasconcellos Vargas AAML DiffM 35 0 0 07 Feb 2024
Transcending Adversarial Perturbations: Manifold-Aided Adversarial Examples with Legitimate Semantics Shuai Li Xiaoyu Jiang Xiaoguang Ma AAML 16 0 0 05 Feb 2024
Manipulating Predictions over Discrete Inputs in Machine Teaching Xiaodong Wu Yufei Han H. Dahrouj Jianbing Ni Zhenwen Liang Xiangliang Zhang 9 0 0 31 Jan 2024
An Empirical Study of In-context Learning in LLMs for Machine Translation Pranjal A. Chitale Jay Gala Raj Dabre LRM 26 5 0 22 Jan 2024
Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing Approach For Uncovering Edge Cases with Minimal Distribution Distortion Aly M. Kassem Sherif Saad AAML 23 1 0 21 Jan 2024
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples Ruichu Cai Yuxuan Zhu Jie Qiao Zefeng Liang Furui Liu Zhifeng Hao CML 19 5 0 21 Dec 2023
SenTest: Evaluating Robustness of Sentence Encoders Tanmay Chavan Shantanu Patankar Aditya Kane Omkar Gokhale Geetanjali Kale Raviraj Joshi 14 0 0 29 Nov 2023
Adversarial Doodles: Interpretable and Human-drawable Attacks Provide Describable Insights Ryoya Nara Yusuke Matsui AAML 24 0 0 27 Nov 2023
Generating Valid and Natural Adversarial Examples with Large Language Models Zimu Wang Wei Wang Qi Chen Qiufeng Wang Anh Nguyen AAML 21 4 0 20 Nov 2023
DALA: A Distribution-Aware LoRA-Based Adversarial Attack against Language Models Yibo Wang Xiangjue Dong James Caverlee Philip S. Yu 23 2 0 14 Nov 2023
A Survey on Transferability of Adversarial Examples across Deep Neural Networks Jindong Gu Xiaojun Jia Pau de Jorge Wenqain Yu Xinwei Liu ... Anjun Hu Ashkan Khakzar Zhijiang Li Xiaochun Cao Philip H. S. Torr AAML 29 26 0 26 Oct 2023
Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks Aradhana Sinha Ananth Balashankar Ahmad Beirami Thi Avrahami Jilin Chen Alex Beutel AAML 27 4 0 25 Oct 2023
Finite-context Indexing of Restricted Output Space for NLP Models Facing Noisy Input Minh Nguyen Nancy F. Chen 17 0 0 21 Oct 2023
Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting Zecheng Tang Kaiqi Feng Juntao Li Min Zhang 26 2 0 20 Oct 2023
Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm S. M. Fazle J. Mondal Meem Arafat Manab Xi Xiao Sarfaraz Newaz AAML 19 0 0 18 Oct 2023
Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks Erfan Shayegani Md Abdullah Al Mamun Yu Fu Pedram Zaree Yue Dong Nael B. Abu-Ghazaleh AAML 147 145 0 16 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 30 15 0 01 Oct 2023
On the Trade-offs between Adversarial Robustness and Actionable Explanations Satyapriya Krishna Chirag Agarwal Himabindu Lakkaraju AAML 36 0 0 28 Sep 2023
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation K. K. Nakka Mathieu Salzmann DRL CoGe 21 2 0 20 Sep 2023
Machine Translation Models Stand Strong in the Face of Adversarial Attacks Pavel Burnyshev Elizaveta Kostenok Alexey Zaytsev SILM AAML 16 0 0 10 Sep 2023
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation Neel Bhandari Pin-Yu Chen AAML SILM 37 3 0 24 Jul 2023
Abusing Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMs Eugene Bagdasaryan Tsung-Yin Hsieh Ben Nassi Vitaly Shmatikov 16 79 0 19 Jul 2023
NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic Zióu Zheng Xiao-Dan Zhu AAML LRM 40 5 0 06 Jul 2023
SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification J. Wu Dit-Yan Yeung SILM 25 0 0 04 Jul 2023
Evaluating Paraphrastic Robustness in Textual Entailment Models Dhruv Verma Yash Kumar Lal Shreyashee Sinha Benjamin Van Durme Adam Poliak 23 5 0 29 Jun 2023
A Survey on Out-of-Distribution Evaluation of Neural NLP Models Xinzhe Li Ming Liu Shang Gao Wray L. Buntine 14 20 0 27 Jun 2023
Visual Adversarial Examples Jailbreak Aligned Large Language Models Xiangyu Qi Kaixuan Huang Ashwinee Panda Peter Henderson Mengdi Wang Prateek Mittal AAML 23 137 0 22 Jun 2023
Anticipatory Thinking Challenges in Open Worlds: Risk Management Adam Amos-Binks Dustin Dannenhauer Leilani H. Gilpin 13 0 0 22 Jun 2023
A Multilingual Evaluation of NER Robustness to Adversarial Inputs A. Srinivasan Sowmya Vajjala AAML 15 3 0 30 May 2023
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability Haotian Xue Alexandre Araujo Bin Hu Yongxin Chen DiffM 30 41 0 25 May 2023
Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals Ananth Balashankar Xuezhi Wang Yao Qin Ben Packer Nithum Thain Jilin Chen Ed H. Chi Alex Beutel 17 0 0 22 May 2023
Latent Magic: An Investigation into Adversarial Examples Crafted in the Semantic Latent Space Bo Zheng DiffM 17 1 0 22 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Xiaowei Huang Wenjie Ruan Wei Huang Gao Jin Yizhen Dong ... Sihao Wu Peipei Xu Dengyu Wu André Freitas Mustafa A. Mustafa ALM 32 81 0 19 May 2023