v1v2v3 (latest)

Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,334 papers shown

Title
Dealing with the Evil Twins: Improving Random Augmentation by Addressing Catastrophic Forgetting of Diverse Augmentations Dongkyu Cho Rumi Chunara 28 0 0 01 Jul 2025
Enhancing Adversarial Robustness through Multi-Objective Representation Learning Sedjro Salomon Hotegni Sebastian Peitz AAML 92 2 0 01 Jul 2025
Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles Xing Shen Hengguan Huang Brennan Nichyporuk Tal Arbel MedIm 136 4 0 01 Jul 2025
Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation Kosuke Nakanishi Akihiro Kubo Yuji Yasui Shin Ishii AAML OffRL 17 0 0 20 Jun 2025
Robust Training with Data Augmentation for Medical Imaging Classification Josué Martínez-Martínez Olivia Brown Mostafa Karami S. Nabavi OOD AAML MedIm 19 1 0 20 Jun 2025
Probing the Robustness of Large Language Models Safety to Latent Perturbations Tianle Gu Kexin Huang Zongqi Wang Yixu Wang Jie Li Yuanqi Yao Yang Yao Yujiu Yang Yan Teng Yingchun Wang AAML LLMSV 31 0 0 19 Jun 2025
Adversarial Attacks and Detection in Visual Place Recognition for Safer Robot Navigation Connor Malone Owen Claxton Iman Shames Michael Milford AAML 10 0 0 19 Jun 2025
SycnMapV2: Robust and Adaptive Unsupervised Segmentation Heng Zhang Zikang Wan Danilo Vasconcellos Vargas 23 0 0 19 Jun 2025
MBA: Multimodal Bidirectional Attack for Referring Expression Segmentation Models Xingbai Chen Tingchao Fu Renyang Liu Wei Zhou Chao Yi AAML 22 0 0 19 Jun 2025
Towards Reliable Forgetting: A Survey on Machine Unlearning Verification, Challenges, and Future Directions Lulu Xue Shengshan Hu Wei Lu Yan Shen Dongxu Li Peijin Guo Ziqi Zhou Minghui Li Yanjun Zhang Leo Yu Zhang MU AAML 15 0 0 18 Jun 2025
HiPreNets: High-Precision Neural Networks through Progressive Training Ethan Mulle W. Kang Q. Gong 20 0 0 18 Jun 2025
Busting the Paper Ballot: Voting Meets Adversarial Machine Learning Kaleel Mahmood Caleb Manicke Ethan Rathbun Aayushi Verma Sohaib Ahmad Nicholas Stamatakis L. Michel Benjamin Fuller AAML 45 0 0 17 Jun 2025
TriGuard: Testing Model Safety with Attribution Entropy, Verification, and Drift Dipesh Tharu Mahato Rohan Poudel Pramod Dhungana AAML 28 0 0 17 Jun 2025
Position: Certified Robustness Does Not (Yet) Imply Model Security Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein 26 0 0 16 Jun 2025
LapDDPM: A Conditional Graph Diffusion Model for scRNA-seq Generation with Spectral Adversarial Perturbations Lorenzo Bini Stéphane Marchand-Maillet DiffM 20 0 0 16 Jun 2025
Understanding Lookahead Dynamics Through Laplace Transform Aniket Sanyal Tatjana Chavdarova 15 0 0 16 Jun 2025
Active Adversarial Noise Suppression for Image Forgery Localization Rongxuan Peng Shunquan Tan Xianbo Mo Alex C. Kot Jiwu Huang AAML 24 0 0 15 Jun 2025
$Existence of Adversarial Examples for Random Convolutional Networks via Isoperimetric Inequalities on $\mathbb{so}(d)$$ Existence of Adversarial Examples for Random Convolutional Networks via Isoperimetric Inequalities on $\mathbb{so}(d)$ Amit Daniely 28 0 0 14 Jun 2025
Exploiting AI for Attacks: On the Interplay between Adversarial AI and Offensive AI Saskia Laura Schröer Luca Pajola Alberto Castagnaro Giovanni Apruzzese Mauro Conti AAML 20 0 0 14 Jun 2025
Attention-based Adversarial Robust Distillation in Radio Signal Classifications for Low-Power IoT Devices Lu Zhang S. Lambotharan G. Zheng G. Liao Basil AsSadhan Fabio Roli AAML 21 7 0 13 Jun 2025
TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks Qihai Zhang Xinyue Sheng Yuanfu Sun Qiaoyu Tan AAML 17 1 0 13 Jun 2025
Interior-Point Vanishing Problem in Semidefinite Relaxations for Neural Network Verification Ryota Ueda Takami Sato Ken Kobayashi Kazuhide Nakata AAML 100 0 0 12 Jun 2025
Lattice Climber Attack: Adversarial attacks for randomized mixtures of classifiers Lucas Gnecco-Heredia Benjamin Négrevergne Y. Chevaleyre AAML 107 0 0 12 Jun 2025
Revisiting Transformers with Insights from Image Filtering Laziz U. Abdullaev Maksim Tkachenko Tan M. Nguyen ViT 126 0 0 12 Jun 2025
Assessing the Resilience of Automotive Intrusion Detection Systems to Adversarial Manipulation Stefano Longari Paolo Cerracchio Michele Carminati S. Zanero AAML 122 0 0 12 Jun 2025
Boosting Adversarial Transferability for Hyperspectral Image Classification Using 3D Structure-invariant Transformation and Intermediate Feature Distance Chun Liu Bingqian Zhu Tao Xu Zheng Zheng Z. Li Wei Yang Zhigang Han Jiayao Wang 110 0 0 12 Jun 2025
HQFNN: A Compact Quantum-Fuzzy Neural Network for Accurate Image Classification Jianhong Yao Yangming Guo 25 0 0 11 Jun 2025
Evasion Attacks Against Bayesian Predictive Models Pablo G. Arce Roi Naveiro D. Insua AAML 76 0 0 11 Jun 2025
AWP: Activation-Aware Weight Pruning and Quantization with Projected Gradient Descent Jing Liu T. Koike-Akino Ye Wang Hassan Mansour Matthew Brand MQ 71 0 0 11 Jun 2025
Towards Class-wise Fair Adversarial Training via Anti-Bias Soft Label Distillation Shiji Zhao Chi Chen Ranjie Duan Xizhe Wang Xingxing Wei 23 0 0 10 Jun 2025
PatchGuard: Adversarially Robust Anomaly Detection and Localization through Vision Transformers and Pseudo Anomalies Mojtaba Nafez Amirhossein Koochakian Arad Maleki Jafar Habibi M. Rohban AAML 36 0 0 10 Jun 2025
Adversarial Text Generation with Dynamic Contextual Perturbation Hetvi Waghela Jaydip Sen Sneha Rakshit S. Dasgupta AAML 39 0 0 10 Jun 2025
Systematic and Efficient Construction of Quadratic Unconstrained Binary Optimization Forms for High-order and Dense Interactions Hyakka Nakada Shu Tanaka 52 0 0 10 Jun 2025
HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model Yuling Wang Zihui Chen Pengfei Jiao Xiao Wang AAML 13 0 0 09 Jun 2025
GradEscape: A Gradient-Based Evader Against AI-Generated Text Detectors Wenlong Meng Shuguo Fan Chengkun Wei Min Chen Yuwei Li Yuanchao Zhang Zhikun Zhang Wenzhi Chen 17 0 0 09 Jun 2025
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Jie Bao Chuangyin Dang Rui Luo Hanwei Zhang Zhixin Zhou AAML 34 1 0 09 Jun 2025
ProARD: progressive adversarial robustness distillation: provide wide range of robust students Seyedhamidreza Mousavi Seyedali Mousavi Masoud Daneshtalab AAML 24 0 0 09 Jun 2025
Can Hessian-Based Insights Support Fault Diagnosis in Attention-based Models? Sigma Jahan Mohammad Masudur Rahman 15 0 0 09 Jun 2025
SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense Patryk Krukowski Łukasz Gorczyca Piotr Helm Kamil Ksiazek Przemysław Spurek AAML CLL 30 0 0 09 Jun 2025
AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Nada Aboudeshish D. Ignatov Radu Timofte 51 3 0 08 Jun 2025
DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning Wenhao Yao Zhenxin Li Shiyi Lan Zi Wang Xinglong Sun Jose M. Alvarez Zuxuan Wu 28 0 0 07 Jun 2025
KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search Nima Jamali Matina Mahdizadeh Sani Hanieh Naderi S. Kasaei AAML 3DPC 22 0 0 07 Jun 2025
Can In-Context Reinforcement Learning Recover From Reward Poisoning Attacks? Paulius Sasnauskas Yiğit Yalın Goran Radanović 15 0 0 07 Jun 2025
Exploring Visual Prompting: Robustness Inheritance and Beyond Qi Li Liangzhi Li Zhouqiang Jiang Bowen Wang Keke Tang VPVLM VLM 25 0 0 07 Jun 2025
Sample-Specific Noise Injection For Diffusion-Based Adversarial Purification Yuhao Sun Jiacheng Zhang Zesheng Ye Chaowei Xiao Feng Liu DiffM 50 0 0 06 Jun 2025
SDN-Based False Data Detection With Its Mitigation and Machine Learning Robustness for In-Vehicle Networks Long Dang T. Hapuarachchi Kaiqi Xiong Yi Li AAML 18 0 0 06 Jun 2025
AdvSumm: Adversarial Training for Bias Mitigation in Text Summarization Mukur Gupta Nikhil Reddy Varimalla Nicholas Deas Melanie Subbiah Kathleen McKeown 53 0 0 06 Jun 2025
Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness S. Landgraf Markus Hillemann Markus Ulrich UQCV 62 0 0 06 Jun 2025
Robust Few-Shot Vision-Language Model Adaptation Hanxin Wang Tian Liu Shu Kong VLM 121 0 0 05 Jun 2025
Fool the Stoplight: Realistic Adversarial Patch Attacks on Traffic Light Detectors Svetlana Pavlitska Jamie Robb Nikolai Polley Melih Yazgan Johann Marius Zöllner AAML 107 0 0 05 Jun 2025