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Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017

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Papers citing "Towards Deep Learning Models Resistant to Adversarial Attacks"

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Title
Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks Amira Guesmi B. Ouni Mohamed Bennai AAML 144 0 0 22 Nov 2024
Adversarial Prompt Distillation for Vision-Language Models Lin Luo Xin Wang Bojia Zi Shihao Zhao Xingjun Ma Yu-Gang Jiang AAML VLM 180 4 0 22 Nov 2024
Learning Fair Robustness via Domain Mixup Meiyu Zhong Ravi Tandon OOD 122 0 0 21 Nov 2024
Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Syed Ali Asadullah Bukhari Thomas Flinkow M. Inkarbekov Barak A. Pearlmutter Rosemary Monahan 139 0 0 21 Nov 2024
Rethinking the Intermediate Features in Adversarial Attacks: Misleading Robotic Models via Adversarial Distillation Ke Zhao Huayang Huang Miao Li Yu Wu AAML 114 1 0 21 Nov 2024
On the Fairness, Diversity and Reliability of Text-to-Image Generative Models Jordan Vice Naveed Akhtar Leonid Sigal Richard Hartley Ajmal Mian EGVM 139 0 0 21 Nov 2024
TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models Xin Wang Kai-xiang Chen Jiaming Zhang Jingjing Chen Xingjun Ma AAML VPVLM VLM 148 3 0 20 Nov 2024
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks Yong Xie Weijie Zheng Hanxun Huang Guangnan Ye Xingjun Ma AAML 170 1 0 20 Nov 2024
Exploring adversarial robustness of JPEG AI: methodology, comparison and new methods Egor Kovalev Georgii Bychkov Khaled Abud A. Gushchin Anna Chistyakova Sergey Lavrushkin D. Vatolin Anastasia Antsiferova AAML 175 2 0 18 Nov 2024
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics Taowen Wang Dongfang Liu James Liang Wenhao Yang Qifan Wang Cheng Han Jiebo Luo Ruixiang Tang Ruixiang Tang AAML 182 6 0 18 Nov 2024
Conceptwm: A Diffusion Model Watermark for Concept Protection Liangqi Lei Keke Gai Jing Yu Liehuang Zhu Qi Wu WIGM 168 2 0 18 Nov 2024
CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization Nay Myat Min Long H. Pham Yige Li Jun Sun AAML 152 5 0 18 Nov 2024
SoK: Unifying Cybersecurity and Cybersafety of Multimodal Foundation Models with an Information Theory Approach Ruoxi Sun Jiamin Chang Hammond Pearce Chaowei Xiao B. Li Qi Wu Surya Nepal Minhui Xue 109 0 0 17 Nov 2024
Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations Jianfeng Chi Ujjwal Karn Hongyuan Zhan Eric Michael Smith Javier Rando Yiming Zhang Kate Plawiak Zacharie Delpierre Coudert Kartikeya Upasani Mahesh Pasupuleti MLLM 3DH 124 32 0 15 Nov 2024
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology Dhananjay Tomar Alexander Binder Andreas Kleppe 79 0 0 14 Nov 2024
Enhancing generalization in high energy physics using white-box adversarial attacks Franck Rothen Samuel Klein Matthew Leigh T. Golling AAML 55 1 0 14 Nov 2024
Transferable Adversarial Attacks against ASR Xiaoxue Gao Zexin Li Yiming Chen Cong Liu Haoyang Li AAML 59 1 0 14 Nov 2024
New Emerged Security and Privacy of Pre-trained Model: a Survey and Outlook Meng Yang Tianqing Zhu Chi Liu Wanlei Zhou Shui Yu Philip S. Yu AAML ELM PILM 112 1 0 12 Nov 2024
A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations Yulong Yang Haoran Fan Chenhao Lin Qian Li Zhengyu Zhao Chao Shen Xiaohong Guan AAML 75 0 0 12 Nov 2024
ProP: Efficient Backdoor Detection via Propagation Perturbation for Overparametrized Models Tao Ren Qiongxiu Li AAML 77 0 0 11 Nov 2024
The Inherent Adversarial Robustness of Analog In-Memory Computing Corey Lammie Julian Büchel A. Vasilopoulos Manuel Le Gallo Abu Sebastian AAML 122 2 0 11 Nov 2024
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning Bacui Li T. Alpcan Chandra Thapa Udaya Parampalli AAML 71 0 0 11 Nov 2024
Adversarial Detection with a Dynamically Stable System Xiaowei Long Jie Lin Xiangyuan Yang AAML 74 0 0 11 Nov 2024
Neural Fingerprints for Adversarial Attack Detection Haim Fisher Moni Shahar Yehezkel S. Resheff AAML 28 0 0 07 Nov 2024
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging Rui Luo Jie Bao Zhixin Zhou Chuangyin Dang MedIm AAML 250 7 0 07 Nov 2024
Verification of Neural Networks against Convolutional Perturbations via Parameterised Kernels Benedikt Brückner Alessio Lomuscio AAML 113 1 0 07 Nov 2024
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization Yuhao He Jinyu Tian Xianwei Zheng Li Dong Yuanman Li L. Zhang AAML 88 0 0 06 Nov 2024
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training Junhao Dong Xinghua Qu Zhiyuan Wang Yew-Soon Ong AAML 91 1 0 05 Nov 2024
Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack Xiaojun Jia Sensen Gao Qing Guo Ke Ma Yihao Huang Simeng Qin Yang Liu Ivor Tsang Fellow Xiaochun Cao AAML 87 3 0 04 Nov 2024
User-wise Perturbations for User Identity Protection in EEG-Based BCIs Xiaoqing Chen Siyang Li Yunlu Tu Ziwei Wang Dongrui Wu 71 2 0 04 Nov 2024
Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIs Xiaoqing Chen Ziwei Wang Dongrui Wu AAML 128 9 0 04 Nov 2024
Optimal Classification under Performative Distribution Shift Edwige Cyffers Muni Sreenivas Pydi Jamal Atif Olivier Cappé 96 4 0 04 Nov 2024
Learning Where to Edit Vision Transformers Yunqiao Yang Long-Kai Huang Shengzhuang Chen Kede Ma Ying Wei KELM 91 1 0 04 Nov 2024
UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models Sejoon Oh Yiqiao Jin Megha Sharma Donghyun Kim Eric Ma Gaurav Verma Srijan Kumar 125 7 0 03 Nov 2024
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions Rui Yang Jie Wang Guoping Wu Yangqiu Song AAML OffRL 140 3 0 01 Nov 2024
DeepCore: Simple Fingerprint Construction for Differentiating Homologous and Piracy Models Haifeng Sun Lan Zhang Xiang-Yang Li 97 0 0 01 Nov 2024
ReMatching Dynamic Reconstruction Flow Sara Oblak Despoina Paschalidou Sanja Fidler Matan Atzmon 167 0 0 01 Nov 2024
Protecting Feed-Forward Networks from Adversarial Attacks Using Predictive Coding Ehsan Ganjidoost Jeff Orchard AAML 47 0 0 31 Oct 2024
I Can Hear You: Selective Robust Training for Deepfake Audio Detection Zirui Zhang Wei Hao Aroon Sankoh William Lin Emanuel Mendiola-Ortiz Junfeng Yang Chengzhi Mao AAML 68 3 0 31 Oct 2024
DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination Jia Fu Xiao Zhang Sepideh Pashami Fatemeh Rahimian Anders Holst DiffM AAML 82 0 0 31 Oct 2024
Noise as a Double-Edged Sword: Reinforcement Learning Exploits Randomized Defenses in Neural Networks Steve Bakos Pooria Madani Heidar Davoudi AAML 78 0 0 31 Oct 2024
GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting Xiufeng Huang Ruiqi Li Yiu-ming Cheung Ka Chun Cheung Simon See Renjie Wan 3DGS 94 5 0 31 Oct 2024
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs Yuchen Yang Shubham Ugare Yifan Zhao Gagandeep Singh Sasa Misailovic MQ 92 0 0 31 Oct 2024
Keep on Swimming: Real Attackers Only Need Partial Knowledge of a Multi-Model System Julian Collado Kevin Stangl AAML 62 0 0 30 Oct 2024
Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization Omar Montasser Han Shao Emmanuel Abbe OOD 58 2 0 30 Oct 2024
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm Zhichao Hou Weizhi Gao Yuchen Shen Feiyi Wang Xiaorui Liu VLM 70 2 0 30 Oct 2024
Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector Youcheng Huang Fengbin Zhu Jingkun Tang Pan Zhou Wenqiang Lei Jiancheng Lv Tat-Seng Chua AAML 69 4 0 30 Oct 2024
Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images Qi Song Ziyuan Luo Ka Chun Cheung Simon See Renjie Wan 104 3 0 30 Oct 2024
One Prompt to Verify Your Models: Black-Box Text-to-Image Models Verification via Non-Transferable Adversarial Attacks Ji Guo Wenbo Jiang Rui Zhang Guoming Lu Hongwei Li AAML 160 0 0 30 Oct 2024
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training Tejaswini Medi Steffen Jung Margret Keuper AAML 94 3 0 30 Oct 2024