Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017

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

50 / 6,484 papers shown

Title
Evaluating the Robustness of Adversarial Defenses in Malware Detection Systems Mostafa Jafari Alireza Shameli-Sendi AAML 21 0 0 14 May 2025
Adversarial Suffix Filtering: a Defense Pipeline for LLMs David Khachaturov Robert D. Mullins AAML 13 0 0 14 May 2025
DArFace: Deformation Aware Robustness for Low Quality Face Recognition Sadaf Gulshad Abdullah Aldahlawi Thakaa CVBM 49 0 0 13 May 2025
Visual Watermarking in the Era of Diffusion Models: Advances and Challenges Junxian Duan Jiyang Guang Wenkui Yang Ran He WIGM 38 0 0 13 May 2025
Convergence of Time-Averaged Mean Field Gradient Descent Dynamics for Continuous Multi-Player Zero-Sum Games Yulong Lu Pierre Monmarché MLT 29 0 0 12 May 2025
Wasserstein Distributionally Robust Nonparametric Regression Changyu Liu Yuling Jiao Junhui Wang Jian Huang OOD 29 0 0 12 May 2025
A Formally Verified Robustness Certifier for Neural Networks (Extended Version) James Tobler Hira Taqdees Syeda Toby Murray AAML 24 0 0 11 May 2025
A stochastic gradient method for trilevel optimization Tommaso Giovannelli G. Kent Luis Nunes Vicente 24 0 0 11 May 2025
Dynamic Domain Information Modulation Algorithm for Multi-domain Sentiment Analysis Chunyi Yue Ang Li 21 0 0 10 May 2025
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Dongyoon Yang Jihu Lee Yongdai Kim 29 0 0 10 May 2025
Engineering Risk-Aware, Security-by-Design Frameworks for Assurance of Large-Scale Autonomous AI Models Krti Tallam 26 0 0 09 May 2025
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP Hanxun Huang Sarah Monazam Erfani Yige Li Xingjun Ma James Bailey AAML 41 0 0 08 May 2025
MTL-UE: Learning to Learn Nothing for Multi-Task Learning Yi Yu Song Xia Siyuan Yang Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex Chichung Kot 46 0 0 08 May 2025
Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks Yixin Cheng Hongcheng Guo Yangming Li Leonid Sigal AAML WaLM 59 0 0 08 May 2025
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks Xuyang Wang Siyuan Duan Qizhi Li Guiduo Duan Yuan Sun Dezhong Peng AAML EDL 55 0 0 07 May 2025
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain Spyridon Raptis Haralampos-G. Stratigopoulos AAML 26 0 0 07 May 2025
Crafting Physical Adversarial Examples by Combining Differentiable and Physically Based Renders Yuqiu Liu Huanqian Yan Xiaopei Zhu Xiaolin Hu L. Tang Hang Su Chen Lv 29 0 0 07 May 2025
Robustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks Sun Haoxuan Hong Yan Zhan Jiahui Chen Haoxing Lan Jun Zhu Huijia Wang Weiqiang Zhang Liqing Zhang Jianfu AAML 114 0 0 06 May 2025
Data-Driven Falsification of Cyber-Physical Systems Atanu Kundu Sauvik Gon Rajarshi Ray AAML AI4CE 28 3 0 06 May 2025
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense Kirill Lukyanov Mikhail Drobyshevskiy Georgii Sazonov Mikhail Soloviov Ilya Makarov GNN 43 0 0 06 May 2025
BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models Z. Wang Hongwei Li Rui Zhang Wenbo Jiang Kangjie Chen Tianwei Zhang Qingchuan Zhao Guowen Xu AAML 43 0 0 06 May 2025
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey Shashank Kapoor Sanjay Surendranath Girija Lakshit Arora Dipen Pradhan Ankit Shetgaonkar Aman Raj AAML 67 0 0 06 May 2025
Robustness questions the interpretability of graph neural networks: what to do? Kirill Lukyanov Georgii Sazonov Serafim Boyarsky Ilya Makarov AAML 134 0 0 05 May 2025
Entropy-Guided Sampling of Flat Modes in Discrete Spaces Pinaki Mohanty Riddhiman Bhattacharya Ruqi Zhang 117 0 0 05 May 2025
Adversarial Robustness Analysis of Vision-Language Models in Medical Image Segmentation Anjila Budathoki Manish Dhakal AAML 28 0 0 05 May 2025
Lightweight Defense Against Adversarial Attacks in Time Series Classification Yi Han AAML 40 0 0 04 May 2025
Negative Stepsizes Make Gradient-Descent-Ascent Converge Henry Shugart Jason M. Altschuler 19 0 0 02 May 2025
Risk Analysis and Design Against Adversarial Actions M. Campi A. Carè Luis G. Crespo S. Garatti Federico A. Ramponi AAML 109 0 0 02 May 2025
Constrained Network Adversarial Attacks: Validity, Robustness, and Transferability Anass Grini Oumaima Taheri Btissam El Khamlichi Amal El Fallah-Seghrouchni AAML 42 0 0 02 May 2025
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Mahdi Dhaini Ege Erdogan Nils Feldhus Gjergji Kasneci 41 0 0 02 May 2025
Transferable Adversarial Attacks on Black-Box Vision-Language Models Kai Hu Weichen Yu L. Zhang Alexander Robey Andy Zou Chengming Xu Haoqi Hu Matt Fredrikson AAML VLM 54 0 0 02 May 2025
Quantum Support Vector Regression for Robust Anomaly Detection Kilian Tscharke Maximilian Wendlinger Sebastian Issel Pascal Debus AAML 27 0 0 02 May 2025
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain Gaozheng Pei Ke Ma Yingfei Sun Qianqian Xu Q. Huang DiffM 40 0 0 02 May 2025
A Generalised Framework for Property-Driven Machine Learning Thomas Flinkow Marco Casadio Colin Kessler Rosemary Monahan Ekaterina Komendantskaya AAML 54 1 0 01 May 2025
How to Backdoor the Knowledge Distillation C. Wu Qian Ma P. Mitra Sencun Zhu AAML 32 0 0 30 Apr 2025
Evaluation and Verification of Physics-Informed Neural Models of the Grad-Shafranov Equation Fauzan Nazranda Rizqan Matthew Hole Charles Gretton 41 0 0 29 Apr 2025
SFIBA: Spatial-based Full-target Invisible Backdoor Attacks Yangxu Yin H. Chen Yudong Gao Peng Sun Z. Li W. Liu AAML 40 0 0 29 Apr 2025
Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction Y. Chen Haoran Li Yuan Sui Y. Liu Yufei He Y. Song Bryan Hooi AAML SILM 63 0 0 29 Apr 2025
The Dark Side of Digital Twins: Adversarial Attacks on AI-Driven Water Forecasting Mohammadhossein Homaei Victor Gonzalez Morales Oscar Mogollon-Gutierrez Andrés Caro AAML 31 0 0 28 Apr 2025
A Cryptographic Perspective on Mitigation vs. Detection in Machine Learning Greg Gluch Shafi Goldwasser AAML 37 0 0 28 Apr 2025
CapsFake: A Multimodal Capsule Network for Detecting Instruction-Guided Deepfakes Tuan Nguyen Naseem Khan Issa Khalil AAML 59 0 0 27 Apr 2025
Optimal Hyperspectral Undersampling Strategy for Satellite Imaging Vita V. Vlasova Vladimir G. Kuzmin Maria S. Varetsa Natalia A. Ibragimova Oleg Y. Rogov Elena V. Lyapuntsova 19 0 0 27 Apr 2025
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers Elad Sofer Tomer Shaked Caroline Chaux Nir Shlezinger AAML 35 0 0 26 Apr 2025
Edge-Based Learning for Improved Classification Under Adversarial Noise Manish Kansana Keyan Alexander Rahimi Elias Hossain Iman Dehzangi Noorbakhsh Amiri Golilarz AAML 24 0 0 25 Apr 2025
DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing Aniruddha Bala Rohit Chowdhury Rohan Jaiswal Siddharth Roheda DiffM AAML 66 0 0 24 Apr 2025
Unveiling Hidden Vulnerabilities in Digital Human Generation via Adversarial Attacks Z. Li Yeying Jin Fan Shen Zhi Liu Weibin Chen ... Boyu Chen Michael Shen Kejian Wu Zhaoxin Fan Jin Dong AAML 40 0 0 24 Apr 2025
Enhancing Variational Autoencoders with Smooth Robust Latent Encoding Hyomin Lee Minseon Kim Sangwon Jang Jongheon Jeong S. Hwang DiffM AAML 39 0 0 24 Apr 2025
Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Vlad Vasilescu Ana Neacsu Daniela Faur ViT 22 0 0 24 Apr 2025
On the Generalization of Adversarially Trained Quantum Classifiers Petros Georgiou Aaron Mark Thomas Sharu Theresa Jose Osvaldo Simeone AAML 29 0 0 24 Apr 2025
Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation Meixi Zheng Kehan Wu Yanbo Fan Rui Huang Baoyuan Wu AAML 32 0 0 23 Apr 2025