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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features Romeo Valentin Sydney M. Katz Joonghyun Lee Don Walker Matthew Sorgenfrei Mykel J. Kochenderfer 135 0 0 23 Jul 2024
Physics-Informed Weakly Supervised Learning for Interatomic Potentials Makoto Takamoto Viktor Zaverkin Mathias Niepert AI4CE 110 0 0 23 Jul 2024
Towards Robust Vision Transformer via Masked Adaptive Ensemble Fudong Lin Jiadong Lou Xu Yuan Nianfeng Tzeng ViT AAML 103 2 0 22 Jul 2024
Requiem for a drone: a machine-learning based framework for stealthy attacks against unmanned autonomous vehicles K. Kim Denizhan Kara V. Paruchuri Sibin Mohan Greg Kimberly Jae Kim Josh D. Eckhardt 78 1 0 20 Jul 2024
ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition Mohammad Saeed Ebrahimi Saadabadi Sahar Rahimi Malakshan Ali Dabouei Nasser M. Nasrabadi CVBM AAML 99 5 0 20 Jul 2024
Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and Semantically-Rich Vision-Language Models Md Zarif Hossain Ahmed Imteaj VLM AAML 75 6 0 20 Jul 2024
Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift Qingyuan Zeng Yunpeng Gong Min Jiang AAML 90 5 0 18 Jul 2024
Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking Yunpeng Gong Chuangliang Zhang Yongjie Hou Lifei Chen Min Jiang AAML 54 15 0 18 Jul 2024
CCSRP: Robust Pruning of Spiking Neural Networks through Cooperative Coevolution J. Reif Jiakang Li Songning Lai Alexander Fay AAML 79 0 0 18 Jul 2024
PG-Attack: A Precision-Guided Adversarial Attack Framework Against Vision Foundation Models for Autonomous Driving Jiyuan Fu Zhaoyu Chen Kaixun Jiang Haijing Guo Shuyong Gao Wenqiang Zhang AAML 88 1 0 18 Jul 2024
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls Aras Selvi Eleonora Kreacic Mohsen Ghassemi Vamsi K. Potluru T. Balch Manuela Veloso 146 0 0 18 Jul 2024
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks Antoni Kowalczuk Jan Dubiñski Atiyeh Ashari Ghomi Yi Sui George Stein Jiapeng Wu Jesse C. Cresswell Franziska Boenisch Adam Dziedzic SSL AAML 88 3 0 17 Jul 2024
Data-driven Verification of DNNs for Object Recognition Clemens Otte Yinchong Yang Danny Benlin Oswan AAML 84 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 119 3 0 17 Jul 2024
Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection Youheng Sun Shengming Yuan Xuanhan Wang Lianli Gao Jingkuan Song AAML 93 3 0 17 Jul 2024
Adaptive Cascading Network for Continual Test-Time Adaptation Kien X. Nguyen Fengchun Qiao Xi Peng TTA CLL VLM 76 1 0 17 Jul 2024
Continuous Embedding Attacks via Clipped Inputs in Jailbreaking Large Language Models Zihao Xu Yi Liu Gelei Deng Kailong Wang Yuekang Li Ling Shi S. Picek KELM 80 0 0 16 Jul 2024
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of Learnable Binary Vectors Matt Gorbett Hossein Shirazi Indrakshi Ray MQ 114 0 0 16 Jul 2024
Variational Randomized Smoothing for Sample-Wise Adversarial Robustness Ryo Hase Ye Wang T. Koike-Akino Jing Liu K. Parsons AAML 43 0 0 16 Jul 2024
Enhancing TinyML Security: Study of Adversarial Attack Transferability Parin Shah Yuvaraj Govindarajulu Pavan Kulkarni Manojkumar Somabhai Parmar AAML 102 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 88 1 0 16 Jul 2024
Feature Inference Attack on Shapley Values Xinjian Luo Yangfan Jiang X. Xiao AAML FAtt 108 21 0 16 Jul 2024
Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques Rishika Bhagwatkar Shravan Nayak Reza Bayat Alexis Roger Daniel Z Kaplan P. Bashivan Irina Rish AAML VLM 94 2 0 15 Jul 2024
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition Xiao-Li Li Yining Liu Na Dong Sitian Qin Xiaolin Hu 91 4 0 15 Jul 2024
LIP-CAR: contrast agent reduction by a deep learned inverse problem Davide Bianchi Sonia Colombo Serra Davide Evangelista Pengpeng Luo E. Morotti Giovanni Valbusa MedIm 67 0 0 15 Jul 2024
Exploring the Impact of Moire Pattern on Deepfake Detectors Razaib Tariq Shahroz Tariq Simon S. Woo 113 1 0 15 Jul 2024
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding Mang Ning A. A. Salah Itir Onal Ertugrul CVBM 185 5 0 15 Jul 2024
SENTINEL: Securing Indoor Localization against Adversarial Attacks with Capsule Neural Networks Danish Gufran Pooja Anandathirtha S. Pasricha AAML 88 3 0 14 Jul 2024
Disrupting Diffusion-based Inpainters with Semantic Digression Geonho Son Juhun Lee Simon S. Woo DiffM 67 4 0 14 Jul 2024
CLIP-Guided Networks for Transferable Targeted Attacks Hao Fang Jiawei Kong Bin Chen Tao Dai Hao Wu Shu-Tao Xia AAML 151 6 0 14 Jul 2024
Transferable 3D Adversarial Shape Completion using Diffusion Models Xuelong Dai Bin Xiao DiffM 3DPC 101 0 0 14 Jul 2024
Deep Adversarial Defense Against Multilevel-Lp Attacks Ren Wang Yuxuan Li Alfred Hero AAML 78 0 0 12 Jul 2024
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off L. Halmosi Bálint Mohos Márk Jelasity AAML 78 1 0 12 Jul 2024
Refusing Safe Prompts for Multi-modal Large Language Models Zedian Shao Hongbin Liu Yuepeng Hu Neil Zhenqiang Gong MLLM LRM 89 1 0 12 Jul 2024
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness Honghao Chen Yurong Zhang Xiaokun Feng Xiangxiang Chu Kaiqi Huang AAML 85 6 0 12 Jul 2024
Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers Alex Oesterling Usha Bhalla Suresh Venkatasubramanian Himabindu Lakkaraju 85 3 0 11 Jul 2024
How to beat a Bayesian adversary Zihan Ding Kexin Jin J. Latz Chenguang Liu AAML BDL 88 0 0 11 Jul 2024
Boosting Adversarial Transferability for Skeleton-based Action Recognition via Exploring the Model Posterior Space Yunfeng Diao Baiqi Wu Ruixuan Zhang Xun Yang Meng Wang He Wang 108 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 78 0 0 11 Jul 2024
fairBERTs: Erasing Sensitive Information Through Semantic and Fairness-aware Perturbations Jinfeng Li YueFeng Chen Xiangyu Liu Longtao Huang Rong Zhang Hui Xue AAML 69 0 0 11 Jul 2024
Foundation Model Engineering: Engineering Foundation Models Just as Engineering Software Dezhi Ran Mengzhou Wu Wei Yang Tao Xie AI4CE 86 2 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 90 16 0 10 Jul 2024
The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others Daniel Sikar Artur Garcez Robin Bloomfield Tillman Weyde Kaleem Peeroo Naman Singh Maeve Hutchinson Dany Laksono Mirela Reljan-Delaney 96 2 0 10 Jul 2024
SUMix: Mixup with Semantic and Uncertain Information Huafeng Qin Xin Jin Hongyu Zhu Hongchao Liao M. El-Yacoubi Xinbo Gao UQCV 113 7 0 10 Jul 2024
Targeted Augmented Data for Audio Deepfake Detection Marcella Astrid Enjie Ghorbel Djamila Aouada AAML 68 1 0 10 Jul 2024
Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles Dongfang Guo Yuting Wu Yimin Dai Pengfei Zhou Xin Lou Rui Tan 74 4 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 110 33 0 10 Jul 2024
Malicious Path Manipulations via Exploitation of Representation Vulnerabilities of Vision-Language Navigation Systems Chashi Mahiul Islam Shaeke Salman M. Shams Xiuwen Liu Piyush Kumar AAML 89 4 0 10 Jul 2024
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective Yu-An Liu Ruqing Zhang Jiafeng Guo Maarten de Rijke Yixing Fan Xueqi Cheng 125 11 0 09 Jul 2024
A Hybrid Training-time and Run-time Defense Against Adversarial Attacks in Modulation Classification Lu Zhang S. Lambotharan G. Zheng G. Liao Ambra Demontis Fabio Roli AAML 91 10 0 09 Jul 2024