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Obfuscated Gradients Give a False Sense of Security: Circumventing
  Defenses to Adversarial Examples
v1v2v3v4 (latest)

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

1 February 2018
Anish Athalye
Nicholas Carlini
D. Wagner
    AAML
ArXiv (abs)PDFHTML

Papers citing "Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples"

50 / 1,982 papers shown
Enhancing Robust Fairness via Confusional Spectral Regularization
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Sihao Wu
Jiaxu Liu
Tianjin Huang
Ronghui Mu
521
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CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning
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Samuel Horváth
Karthik Nandakumar
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402
2
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Stability and Generalization in Free Adversarial Training
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Xiwei Cheng
Kexin Fu
Farzan Farnia
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245
6
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Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50Silicon Valley Cybersecurity Conference (SVCC), 2025
Umesh Yadav
Suman Niraula
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Bicky Yadav
SILM
333
1
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04 Jan 2025
Region-Guided Attack on the Segment Anything Model (SAM)
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Xiaoliang Liu
Jian Zhao
Furao Shen
AAML
449
2
0
03 Jan 2025
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness
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Olukorede Fakorede
Modeste Atsague
Jin Tian
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198
0
0
31 Dec 2024
Causal Interpretability for Adversarial Robustness: A Hybrid Generative Classification Approach
Causal Interpretability for Adversarial Robustness: A Hybrid Generative Classification Approach
Chunheng Zhao
P. Pisu
G. Comert
N. Begashaw
Varghese Vaidyan
Nina Christine Hubig
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258
1
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Evaluating the Adversarial Robustness of Detection Transformers
Evaluating the Adversarial Robustness of Detection Transformers
A. Nazeri
Chunheng Zhao
P. Pisu
AAML
287
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25 Dec 2024
Adversarial Hubness in Multi-Modal Retrieval
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Tingwei Zhang
Fnu Suya
Rishi Jha
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Vitaly Shmatikov
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590
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On Evaluating the Durability of Safeguards for Open-Weight LLMs
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Xiangyu Qi
Boyi Wei
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Tinghao Xie
Luxi He
Matthew Jagielski
Milad Nasr
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Peter Henderson
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380
37
0
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Dario Serez
Marco Cristani
Alessio Del Bue
Vittorio Murino
Pietro Morerio
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404
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RED: Robust Environmental Design
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241
0
0
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Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
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Yong Xie
Weijie Zheng
Hanxun Huang
Guangnan Ye
Jiabo He
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642
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Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics
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Taowen Wang
Cheng Han
James Liang
Wenhao Yang
Dongfang Liu
Luna Xinyu Zhang
Qifan Wang
Jiebo Luo
Ruixiang Tang
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628
32
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Computable Model-Independent Bounds for Adversarial Quantum Machine
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Bacui Li
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224
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Lan-Huong Nguyen
V. Nguyen
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Jian-Jhih Kuo
Yu-Wen Chen
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Ping-I Pan
452
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Weizhi Gao
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Han Xu
Xiaorui Liu
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247
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Jia Fu
Xiao Zhang
Sepideh Pashami
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299
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Julian Collado
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185
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398
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201
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Karl Chahine
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302
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152
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Artificial Kuramoto Oscillatory Neurons
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Li Liu
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Yi R.
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Haibo Hu
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358
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Yisen Wang
Yichuan Mo
Dongxian Wu
Mingjie Li
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277
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