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Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

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Title
Adversarial Attack for Explanation Robustness of Rationalization Models Yuankai Zhang Lingxiao Kong Haozhao Wang Ruixuan Li Jun Wang Yuhua Li Wei Liu AAML 100 1 0 20 Aug 2024
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification Hanrui Wang Ruoxi Sun Cunjian Chen Minhui Xue Lay-Ki Soon Shuo Wang Zhe Jin DiffM AAML 92 2 0 20 Aug 2024
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models Cong Wan Yuhang He Xiang Song Yihong Gong DiffM AAML 100 7 0 20 Aug 2024
Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks Hetvi Waghela Jaydip Sen Sneha Rakshit AAML 29 5 0 20 Aug 2024
Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency Bhavna Gopal Huanrui Yang Jingyang Zhang Mark Horton Yiran Chen AAML 90 0 0 19 Aug 2024
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving Jun Yan Pengyu Wang Danni Wang Weiquan Huang Daniel Watzenig Huilin Yin AAML VLM 81 4 0 19 Aug 2024
DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization Pucheng Dang Xing Hu Dong Li Rui Zhang Qi Guo Kaidi Xu DiffM 109 7 0 18 Aug 2024
Attack Anything: Blind DNNs via Universal Background Adversarial Attack Jiawei Lian Shaohui Mei Xiaofei Wang Yi Wang Lefan Wang Yingjie Lu Mingyang Ma Lap-Pui Chau AAML 88 1 0 17 Aug 2024
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness Hefei Mei Minjing Dong Chang Xu AAML 180 0 0 16 Aug 2024
A Multi-task Adversarial Attack Against Face Authentication Hanrui Wang Shuo Wang Cunjian Chen Massimo Tistarelli Zhe Jin CVBM AAML 137 7 0 15 Aug 2024
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack Zhibo Jin Jiayu Zhang Zhiyu Zhu Chenyu Zhang Jiahao Huang Jianlong Zhou Fang Chen AAML 83 1 0 14 Aug 2024
Image Scaling Attack Simulation: A Measure of Stealth and Detectability Devon A. Kelly Sarah A. Flanery Christiana Chamon AAML 64 2 0 14 Aug 2024
DePatch: Towards Robust Adversarial Patch for Evading Person Detectors in the Real World Jikang Cheng Ying Zhang Zhongyuan Wang Zou Qin Chen Li AAML 51 0 0 13 Aug 2024
Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment Kejia Zhang Juanjuan Weng Shaozi Li Shaozi Li AAML 90 0 0 12 Aug 2024
Generalizing Few Data to Unseen Domains Flexibly Based on Label Smoothing Integrated with Distributionally Robust Optimization Yangdi Wang Zhi-Hai Zhang Su Xiu Xu Wenming Guo 63 0 0 09 Aug 2024
PushPull-Net: Inhibition-driven ResNet robust to image corruptions Guru Swaroop Bennabhaktula Enrique Alegre N. Strisciuglio George Azzopardi 115 1 0 07 Aug 2024
Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks Keiichiro Yamamura Issa Oe Hiroki Ishikura Katsuki Fujisawa AAML 86 0 0 07 Aug 2024
Can Reinforcement Learning Unlock the Hidden Dangers in Aligned Large Language Models? Mohammad Bahrami Karkevandi Nishant Vishwamitra Peyman Najafirad AAML 87 1 0 05 Aug 2024
On the Robustness of Malware Detectors to Adversarial Samples Muhammad Salman B. Zhao Hassan Jameel Asghar Muhammad Ikram Sidharth Kaushik M. Kâafar AAML 65 0 0 05 Aug 2024
Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers Weijie Zheng Xingjun Ma Hanxun Huang Zuxuan Wu Yu-Gang Jiang AAML 106 0 0 03 Aug 2024
ADBM: Adversarial diffusion bridge model for reliable adversarial purification Xiao-Li Li Wenxuan Sun Huanran Chen Qiongxiu Li Yining Liu Yingzhe He Jie Shi Xiaolin Hu AAML 190 12 0 01 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges Sazzad Sayyed Milin Zhang Shahriar Rifat A. Swami Michael De Lucia Francesco Restuccia 110 1 0 31 Jul 2024
AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning Maisha Binte Rashid Pablo Rivas 61 2 0 30 Jul 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks Hunmin Yang Jongoh Jeong Kuk-Jin Yoon AAML VLM 185 5 0 30 Jul 2024
Adversarial Robustness in RGB-Skeleton Action Recognition: Leveraging Attention Modality Reweighter Chao Liu Xin Liu Zi-jian Yu Yonghong Hou Huanjing Yue Jingyu Yang AAML 64 0 0 29 Jul 2024
Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent Hetvi Waghela Jaydip Sen Sneha Rakshit AAML SILM 80 3 0 29 Jul 2024
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective Kanghoon Yoon Yeonjun In Namkyeong Lee Kibum Kim Chanyoung Park AAML 115 2 0 27 Jul 2024
Sparse vs Contiguous Adversarial Pixel Perturbations in Multimodal Models: An Empirical Analysis Cristian-Alexandru Botocan Raphael Meier Ljiljana Dolamic AAML 68 0 0 25 Jul 2024
Towards Robust Vision Transformer via Masked Adaptive Ensemble Fudong Lin Jiadong Lou Xu Yuan Nianfeng Tzeng ViT AAML 97 2 0 22 Jul 2024
Flatness-aware Sequential Learning Generates Resilient Backdoors Hoang Pham The-Anh Ta Anh Tran Khoa D. Doan FedML AAML 76 1 0 20 Jul 2024
Data-driven Verification of DNNs for Object Recognition Clemens Otte Yinchong Yang Danny Benlin Oswan AAML 79 0 0 17 Jul 2024
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective Zhaoxin Wang Handing Wang Cong Tian Yaochu Jin AAML 106 3 0 17 Jul 2024
Relaxing Graph Transformers for Adversarial Attacks Philipp Foth Lukas Gosch Simon Geisler Leo Schwinn Stephan Günnemann AAML 154 1 0 16 Jul 2024
Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis Zhipeng He Chun Ouyang Laith Alzubaidi Alistair Barros Catarina Moreira AAML 81 1 0 16 Jul 2024
CLIP-Guided Networks for Transferable Targeted Attacks Hao Fang Jiawei Kong Bin Chen Tao Dai Hao Wu Shu-Tao Xia AAML 144 6 0 14 Jul 2024
Transferable 3D Adversarial Shape Completion using Diffusion Models Xuelong Dai Bin Xiao DiffM 3DPC 99 0 0 14 Jul 2024
SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images Mingyuan Fan Yang Liu Cen Chen Ximeng Liu AAML 69 0 0 13 Jul 2024
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off L. Halmosi Bálint Mohos Márk Jelasity AAML 76 1 0 12 Jul 2024
How to beat a Bayesian adversary Zihan Ding Kexin Jin J. Latz Chenguang Liu AAML BDL 84 0 0 11 Jul 2024
Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems Yuxin Cao Yumeng Zhu Derui Wang Sheng Wen Minhui Xue Jin Lu Hao Ge AAML 75 0 0 11 Jul 2024
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks Raffaele Mura Giuseppe Floris Luca Scionis Giorgio Piras Maura Pintor Ambra Demontis Giorgio Giacinto Battista Biggio Fabio Roli AAML 101 0 0 11 Jul 2024
A Comprehensive Survey on the Security of Smart Grid: Challenges, Mitigations, and Future Research Opportunities Arastoo Zibaeirad Farnoosh Koleini Shengping Bi Tao Hou Tao Wang AAML 85 16 0 10 Jul 2024
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends Daizong Liu Mingyu Yang Xiaoye Qu Pan Zhou Yu Cheng Wei Hu ELM AAML 108 33 0 10 Jul 2024
Improving the Transferability of Adversarial Examples by Feature Augmentation Donghua Wang Wen Yao Tingsong Jiang Xiaohu Zheng Junqi Wu Xiaoqian Chen AAML 101 0 0 09 Jul 2024
Certified Continual Learning for Neural Network Regression Long H. Pham Jun Sun 121 2 0 09 Jul 2024
Non-Robust Features are Not Always Useful in One-Class Classification Matthew Lau Haoran Wang Alec Helbling Matthew Hul ShengYun Peng Martin Andreoni W. T. Lunardi Wenke Lee AAML 32 0 0 08 Jul 2024
Shedding More Light on Robust Classifiers under the lens of Energy-based Models Mujtaba Hussain Mirza Maria Rosaria Briglia Senad Beadini I. Masi AAML 65 5 0 08 Jul 2024
Late Breaking Results: Fortifying Neural Networks: Safeguarding Against Adversarial Attacks with Stochastic Computing Faeze S. Banitaba Sercan Aygün M. H. Najafi AAML 20 3 0 05 Jul 2024
Remembering Everything Makes You Vulnerable: A Limelight on Machine Unlearning for Personalized Healthcare Sector Ahan Chatterjee Sai Anirudh Aryasomayajula Rajat Chaudhari Subhajit Paul Vishwa Mohan Singh AAML 63 0 0 05 Jul 2024
Self-Supervised Representation Learning for Adversarial Attack Detection Yi Li Plamen Angelov N. Suri SSL AAML 81 4 0 05 Jul 2024