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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
CausAdv: A Causal-based Framework for Detecting Adversarial Examples Hichem Debbi CML AAML 77 1 0 29 Oct 2024
Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks Zhengbo Zhou Degan Hao Dooman Arefan M. Zuley J. Sumkin Shandong Wu AAML 110 0 0 29 Oct 2024
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization Quoc Tran-Dinh Trang H. Tran Lam M. Nguyen 59 0 0 29 Oct 2024
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers Patricia Pauli Ruigang Wang I. Manchester Frank Allgöwer 78 2 0 29 Oct 2024
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models Lu Yu Haiyang Zhang Changsheng Xu AAML VLM 104 7 0 29 Oct 2024
On the Robustness of Adversarial Training Against Uncertainty Attacks Emanuele Ledda Giovanni Scodeller Daniele Angioni Giorgio Piras Antonio Emanuele Cinà Giorgio Fumera Battista Biggio Fabio Roli AAML 139 1 0 29 Oct 2024
Computable Lipschitz Bounds for Deep Neural Networks Moreno Pintore Bruno Després 47 1 0 28 Oct 2024
TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors Adonisz Dimitriu Tamás Michaletzky Viktor Remeli AAML 452 0 0 28 Oct 2024
Evaluating the Robustness of LiDAR Point Cloud Tracking Against Adversarial Attack Shengjing Tian Yinan Han Xiantong Zhao Bin Liu Xiuping Liu AAML 74 0 0 28 Oct 2024
Attacks against Abstractive Text Summarization Models through Lead Bias and Influence Functions Poojitha Thota Shirin Nilizadeh 69 2 0 26 Oct 2024
RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction Tanqiu Jiang Zian Wang Jiacheng Liang Changjiang Li Yuhui Wang Ting Wang AAML 85 6 0 25 Oct 2024
Analyzing Neural Network Robustness Using Graph Curvature Shuhang Tan Jayson Sia Paul Bogdan Radoslav Ivanov 49 1 0 25 Oct 2024
Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization Diana Pfau Alexander Jung 75 1 0 25 Oct 2024
Adversarial Attacks on Large Language Models Using Regularized Relaxation Samuel Jacob Chacko Sajib Biswas Chashi Mahiul Islam Fatema Tabassum Liza Xiuwen Liu AAML 82 3 0 24 Oct 2024
Environment Maps Editing using Inverse Rendering and Adversarial Implicit Functions Antonio DÓrazio Davide Sforza Fabio Pellacini Iacopo Masi 45 0 0 24 Oct 2024
Complexity Matters: Effective Dimensionality as a Measure for Adversarial Robustness David Khachaturov Robert D. Mullins AAML 46 0 0 24 Oct 2024
Probabilistic Language-Image Pre-Training Sanghyuk Chun Wonjae Kim Song Park Sangdoo Yun MLLM VLM CLIP 489 6 2 24 Oct 2024
LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded" Som Sagar Aditya Taparia Ransalu Senanayake 39 0 0 22 Oct 2024
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost Cheng-Han Yeh Kuanchun Yu Chun-Shien Lu DiffM AAML 160 0 0 22 Oct 2024
Detecting Adversarial Examples Furkan Mumcu Yasin Yilmaz AAML 62 2 0 22 Oct 2024
Conflict-Aware Adversarial Training Zhiyu Xue Haohan Wang Yao Qin Ramtin Pedarsani AAML 70 0 0 21 Oct 2024
Model Mimic Attack: Knowledge Distillation for Provably Transferable Adversarial Examples Kirill Lukyanov Andrew Perminov D. Turdakov Mikhail Pautov AAML 58 2 0 21 Oct 2024
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation Anh-Vu Bui L. Vuong Khanh Doan Trung Le Paul Montague Tamas Abraham Dinh Q. Phung KELM DiffM 116 12 0 21 Oct 2024
Robust Feature Learning for Multi-Index Models in High Dimensions Alireza Mousavi-Hosseini Adel Javanmard Murat A. Erdogdu OOD AAML 170 1 0 21 Oct 2024
Faster-GCG: Efficient Discrete Optimization Jailbreak Attacks against Aligned Large Language Models Xiao-Li Li Zhuhong Li Qiongxiu Li Bingze Lee Jinghao Cui Xiaolin Hu AAML 58 5 0 20 Oct 2024
Discriminating image representations with principal distortions Jenelle Feather David Lipshutz Sarah E. Harvey Alex H. Williams Eero P. Simoncelli 100 2 0 20 Oct 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 84 1 0 19 Oct 2024
Reinfier and Reintrainer: Verification and Interpretation-Driven Safe Deep Reinforcement Learning Frameworks Zixuan Yang Jiaqi Zheng Guihai Chen OffRL 100 0 0 19 Oct 2024
A Hybrid Defense Strategy for Boosting Adversarial Robustness in Vision-Language Models Yuhan Liang Yijun Li Yumeng Niu Qianhe Shen Hangyu Liu VLM AAML 47 1 0 18 Oct 2024
How Do Training Methods Influence the Utilization of Vision Models? Paul Gavrikov Shashank Agnihotri Margret Keuper J. Keuper 97 2 0 18 Oct 2024
MMAD-Purify: A Precision-Optimized Framework for Efficient and Scalable Multi-Modal Attacks Xinxin Liu Zhongliang Guo Siyuan Huang Chun Pong Lau AAML DiffM 50 0 0 17 Oct 2024
Multi-style conversion for semantic segmentation of lesions in fundus images by adversarial attacks Clément Playout Renaud Duval Marie Carole Boucher Farida Cheriet MedIm 68 1 0 17 Oct 2024
Golyadkin's Torment: Doppelgängers and Adversarial Vulnerability George I. Kamberov AAML 66 0 0 17 Oct 2024
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum Nashrah Haque Xiang Li Zhehui Chen Yanzhao Wu Lei Yu Arun Iyengar Wenqi Wei DiffM AAML 54 0 0 17 Oct 2024
Artificial Kuramoto Oscillatory Neurons Takeru Miyato Sindy Löwe Andreas Geiger Max Welling AI4CE 206 10 0 17 Oct 2024
Estimating the Probabilities of Rare Outputs in Language Models Gabriel Wu Jacob Hilton AAML UQCV 137 3 0 17 Oct 2024
Hiding-in-Plain-Sight (HiPS) Attack on CLIP for Targetted Object Removal from Images Arka Daw Megan Hong-Thanh Chung Maria Mahbub Amir Sadovnik AAML 80 0 0 16 Oct 2024
Low-Rank Adversarial PGD Attack Dayana Savostianova Emanuele Zangrando Francesco Tudisco AAML 66 1 0 16 Oct 2024
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain Fengpeng Li Kemou Li Haiwei Wu Jinyu Tian Jiantao Zhou AAML 101 1 0 16 Oct 2024
Efficient Optimization Algorithms for Linear Adversarial Training Antônio H. Ribeiro Thomas B. Schon Dave Zahariah Francis Bach AAML 112 2 0 16 Oct 2024
Taking off the Rose-Tinted Glasses: A Critical Look at Adversarial ML Through the Lens of Evasion Attacks Kevin Eykholt Farhan Ahmed Pratik Vaishnavi Amir Rahmati AAML 92 0 0 15 Oct 2024
Deciphering the Chaos: Enhancing Jailbreak Attacks via Adversarial Prompt Translation Qizhang Li Xiaochen Yang W. Zuo Yiwen Guo AAML 143 1 0 15 Oct 2024
Backdoor Attack on Vertical Federated Graph Neural Network Learning Jirui Yang Peng Chen Zhihui Lu Ruijun Deng Qiang Duan Jianping Zeng AAML FedML 481 0 0 15 Oct 2024
Automatically Generating Visual Hallucination Test Cases for Multimodal Large Language Models Zhongye Liu Hongbin Liu Yuepeng Hu Zedian Shao Neil Zhenqiang Gong VLM MLLM 51 0 0 15 Oct 2024
Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture Sajad Movahedi Antonio Orvieto Seyed-Mohsen Moosavi-Dezfooli AI4CE AAML 585 0 0 15 Oct 2024
ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection Martin Aubard László Antal Ana Madureira Luis F. Teixeira Erika Ábrahám AAML 58 1 0 14 Oct 2024
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors Tao Lin Lijia Yu Gaojie Jin Renjue Li Peng Wu Lijun Zhang AAML 108 1 0 14 Oct 2024
Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization Johan Hatleskog Kostas Alexis 3DPC 105 3 0 14 Oct 2024
Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Training Zhanpeng Zhou Mingze Wang Yuchen Mao Bingrui Li Junchi Yan AAML 136 1 0 14 Oct 2024
Embedding Self-Correction as an Inherent Ability in Large Language Models for Enhanced Mathematical Reasoning Kuofeng Gao Huanqia Cai Qingyao Shuai Dihong Gong Zhifeng Li LRM ReLM 122 1 0 14 Oct 2024