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1607.02533
Cited By
Adversarial examples in the physical world
8 July 2016
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
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Papers citing
"Adversarial examples in the physical world"
50 / 1,598 papers shown
Title
Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models
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M. MacDiarmid
Fazl Barez
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Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks
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Xiyue Zhang
Holger H. Hoos
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32
1
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MirrorCheck: Efficient Adversarial Defense for Vision-Language Models
Samar Fares
Klea Ziu
Toluwani Aremu
N. Durasov
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Pascal Fua
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Ivan Laptev
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32
4
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Improving Adversarial Robustness via Feature Pattern Consistency Constraint
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Jingwen Ye
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Jiazhen Yang
Shunyu Liu
Xiaotian Yu
Lingxiang Jia
Mingli Song
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34
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On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models
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Asif Hanif
Muzammal Naseer
Mohammad Yaqub
Salman Khan
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48
0
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I Don't Know You, But I Can Catch You: Real-Time Defense against Diverse Adversarial Patches for Object Detectors
Zijin Lin
Yue Zhao
Kai Chen
Jinwen He
AAML
30
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0
12 Jun 2024
Understanding Visual Concepts Across Models
Brandon Trabucco
Max Gurinas
Kyle Doherty
Ruslan Salakhutdinov
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35
0
0
11 Jun 2024
AudioMarkBench: Benchmarking Robustness of Audio Watermarking
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Moyang Guo
Zhengyuan Jiang
Lun Wang
Neil Zhenqiang Gong
34
6
0
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DMS: Addressing Information Loss with More Steps for Pragmatic Adversarial Attacks
Zhiyu Zhu
Jiayu Zhang
Xinyi Wang
Zhibo Jin
Huaming Chen
AAML
33
1
0
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Exploring Adversarial Robustness of Deep State Space Models
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Yang Luo
Junqi Gao
Pengfei Li
Kai Tian
Zhiyuan Ma
Bowen Zhou
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45
1
0
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The Price of Implicit Bias in Adversarially Robust Generalization
Nikolaos Tsilivis
Natalie Frank
Nathan Srebro
Julia Kempe
40
3
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VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by Regularizing Unwanted Noise
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Mukesh Singhal
23
1
0
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Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation
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Jiaxin Gao
Xuan Liu
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Xin-Yue Fan
Risheng Liu
24
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Robust Stable Spiking Neural Networks
Jianhao Ding
Zhiyu Pan
Yujia Liu
Zhaofei Yu
Tiejun Huang
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33
5
0
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HOLMES: to Detect Adversarial Examples with Multiple Detectors
Jing Wen
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28
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Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
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Yibo Miao
Yinpeng Dong
Xiao Yang
Xiao-Shan Gao
Jun Zhu
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27
3
0
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Towards Unified Robustness Against Both Backdoor and Adversarial Attacks
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Yuyao Sun
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36
6
0
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Spectral regularization for adversarially-robust representation learning
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Jacob A. Zavatone-Veth
C. Pehlevan
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41
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Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training
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H. Sencar
Hassan Sajjad
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AAML
43
0
0
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Sok: Comprehensive Security Overview, Challenges, and Future Directions of Voice-Controlled Systems
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Cong Wu
Yangyang Gu
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Jing Chen
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Ruiying Du
32
3
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Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models
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39
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Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
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Ziwei Liu
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52
9
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Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination
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Roy Ganz
Michael Elad
19
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Uncertainty Measurement of Deep Learning System based on the Convex Hull of Training Sets
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Jitae Shin
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UQCV
32
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Generating camera failures as a class of physics-based adversarial examples
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Jwalandhar Girnar
A. Kusari
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17
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How Does Bayes Error Limit Probabilistic Robust Accuracy
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Jun Sun
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32
1
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Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds
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Luo Cheng
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Renjue Li
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Holger Hermanns
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25
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Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography
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Jie M. Zhang
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Qi Guo
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35
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Learning to Transform Dynamically for Better Adversarial Transferability
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14
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Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers
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Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective
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Ting Wang
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39
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GAN-GRID: A Novel Generative Attack on Smart Grid Stability Prediction
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35
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Certified Robust Accuracy of Neural Networks Are Bounded due to Bayes Errors
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Beyond the Black Box: Do More Complex Models Provide Superior XAI Explanations?
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PUMA: margin-based data pruning
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42
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Universal Adversarial Perturbations for Vision-Language Pre-trained Models
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Is ReLU Adversarially Robust?
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Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability
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Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective
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Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
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