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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 / 1,929 papers shown
Title
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness
Emanuele Ballarin
A. Ansuini
Luca Bortolussi
AAML
184
0
0
20 Feb 2025
Sign-Symmetry Learning Rules are Robust Fine-Tuners
Sign-Symmetry Learning Rules are Robust Fine-Tuners
Aymene Berriche
Mehdi Zakaria Adjal
Riyadh Baghdadi
AAML
75
0
0
09 Feb 2025
Adversarial Machine Learning: Attacks, Defenses, and Open Challenges
Adversarial Machine Learning: Attacks, Defenses, and Open Challenges
Pranav K Jha
AAML
94
0
0
08 Feb 2025
CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling
Kaiyuan Zhang
Siyuan Cheng
Guangyu Shen
Bruno Ribeiro
Shengwei An
Pin-Yu Chen
Xinming Zhang
Ninghui Li
356
2
0
28 Jan 2025
Enhancing Robust Fairness via Confusional Spectral Regularization
Enhancing Robust Fairness via Confusional Spectral Regularization
Gaojie Jin
Sihao Wu
Jiaxu Liu
Tianjin Huang
Ronghui Mu
214
1
0
22 Jan 2025
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning
Nurbek Tastan
Samuel Horváth
Karthik Nandakumar
FedML
118
0
0
21 Jan 2025
Stability and Generalization in Free Adversarial Training
Stability and Generalization in Free Adversarial Training
Xiwei Cheng
Kexin Fu
Farzan Farnia
AAML
84
3
0
08 Jan 2025
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-50
Umesh Yadav
Suman Niraula
Gaurav Kumar Gupta
Bicky Yadav
SILM
179
0
0
04 Jan 2025
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness
Olukorede Fakorede
Modeste Atsague
Jin Tian
AAML
77
0
0
31 Dec 2024
Evaluating the Adversarial Robustness of Detection Transformers
Evaluating the Adversarial Robustness of Detection Transformers
A. Nazeri
Chunheng Zhao
P. Pisu
AAML
114
1
0
25 Dec 2024
Adversarial Hubness in Multi-Modal Retrieval
Adversarial Hubness in Multi-Modal Retrieval
Tingwei Zhang
Fnu Suya
Rishi Jha
Collin Zhang
Vitaly Shmatikov
AAML
173
1
0
18 Dec 2024
On Evaluating the Durability of Safeguards for Open-Weight LLMs
On Evaluating the Durability of Safeguards for Open-Weight LLMs
Xiangyu Qi
Boyi Wei
Nicholas Carlini
Yangsibo Huang
Tinghao Xie
Luxi He
Matthew Jagielski
Milad Nasr
Prateek Mittal
Peter Henderson
AAML
137
22
0
10 Dec 2024
Pre-trained Multiple Latent Variable Generative Models are good
  defenders against Adversarial Attacks
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks
Dario Serez
Marco Cristani
Alessio Del Bue
Vittorio Murino
Pietro Morerio
AAML
164
0
0
04 Dec 2024
RED: Robust Environmental Design
RED: Robust Environmental Design
Jinghan Yan
AAML
100
0
0
26 Nov 2024
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
Yong Xie
Weijie Zheng
Hanxun Huang
Guangnan Ye
Xingjun Ma
AAML
170
1
0
20 Nov 2024
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics
Taowen Wang
Dongfang Liu
James Liang
Wenhao Yang
Qifan Wang
Cheng Han
Jiebo Luo
Ruixiang Tang
Ruixiang Tang
AAML
180
6
0
18 Nov 2024
Towards Secured Smart Grid 2.0: Exploring Security Threats, Protection
  Models, and Challenges
Towards Secured Smart Grid 2.0: Exploring Security Threats, Protection Models, and Challenges
Lan-Huong Nguyen
V. Nguyen
Ren-Hung Hwang
Jian-Jhih Kuo
Yu-Wen Chen
Chien-Chung Huang
Ping-I Pan
115
8
0
07 Nov 2024
Certified Robustness for Deep Equilibrium Models via Serialized Random
  Smoothing
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
Weizhi Gao
Zhichao Hou
Han Xu
Xiaorui Liu
AAML
70
0
0
01 Nov 2024
DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination
DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination
Jia Fu
Xiao Zhang
Sepideh Pashami
Fatemeh Rahimian
Anders Holst
DiffMAAML
82
0
0
31 Oct 2024
Keep on Swimming: Real Attackers Only Need Partial Knowledge of a
  Multi-Model System
Keep on Swimming: Real Attackers Only Need Partial Knowledge of a Multi-Model System
Julian Collado
Kevin Stangl
AAML
62
0
0
30 Oct 2024
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
Tejaswini Medi
Steffen Jung
Margret Keuper
AAML
94
3
0
30 Oct 2024
On the Robustness of Adversarial Training Against Uncertainty Attacks
On the Robustness of Adversarial Training Against Uncertainty Attacks
Emanuele Ledda
Giovanni Scodeller
Daniele Angioni
Giorgio Piras
Antonio Emanuele Cinà
Giorgio Fumera
Battista Biggio
Fabio Roli
AAML
139
1
0
29 Oct 2024
FATH: Authentication-based Test-time Defense against Indirect Prompt
  Injection Attacks
FATH: Authentication-based Test-time Defense against Indirect Prompt Injection Attacks
Jiongxiao Wang
Fangzhou Wu
Wendi Li
Jinsheng Pan
Edward Suh
Zhuoqing Mao
Muhao Chen
Chaowei Xiao
AAML
79
8
0
28 Oct 2024
Neural Cover Selection for Image Steganography
Neural Cover Selection for Image Steganography
Karl Chahine
Hyeji Kim
DiffM
86
0
0
23 Oct 2024
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost
Cheng-Han Yeh
Kuanchun Yu
Chun-Shien Lu
DiffMAAML
158
0
0
22 Oct 2024
Conflict-Aware Adversarial Training
Conflict-Aware Adversarial Training
Zhiyu Xue
Haohan Wang
Yao Qin
Ramtin Pedarsani
AAML
70
0
0
21 Oct 2024
Adversarial Training: A Survey
Adversarial Training: A Survey
Mengnan Zhao
Lihe Zhang
Jingwen Ye
Huchuan Lu
Baocai Yin
Xinchao Wang
AAML
84
1
0
19 Oct 2024
A Hybrid Defense Strategy for Boosting Adversarial Robustness in
  Vision-Language Models
A Hybrid Defense Strategy for Boosting Adversarial Robustness in Vision-Language Models
Yuhan Liang
Yijun Li
Yumeng Niu
Qianhe Shen
Hangyu Liu
VLMAAML
47
1
0
18 Oct 2024
Artificial Kuramoto Oscillatory Neurons
Artificial Kuramoto Oscillatory Neurons
Takeru Miyato
Sindy Löwe
Andreas Geiger
Max Welling
AI4CE
204
10
0
17 Oct 2024
New Paradigm of Adversarial Training: Releasing Accuracy-Robustness Trade-Off via Dummy Class
New Paradigm of Adversarial Training: Releasing Accuracy-Robustness Trade-Off via Dummy Class
Yijiao Wang
Li Liu
Zi Liang
Yi R.
Fung
Qingqing Ye
Haibo Hu
AAML
121
1
0
16 Oct 2024
Taking off the Rose-Tinted Glasses: A Critical Look at Adversarial ML
  Through the Lens of Evasion Attacks
Taking off the Rose-Tinted Glasses: A Critical Look at Adversarial ML Through the Lens of Evasion Attacks
Kevin Eykholt
Farhan Ahmed
Pratik Vaishnavi
Amir Rahmati
AAML
92
0
0
15 Oct 2024
On the Adversarial Transferability of Generalized "Skip Connections"
On the Adversarial Transferability of Generalized "Skip Connections"
Yisen Wang
Yichuan Mo
Dongxian Wu
Mingjie Li
Xingjun Ma
Zhouchen Lin
AAML
65
2
0
11 Oct 2024
Adversarial Robustness Overestimation and Instability in TRADES
Adversarial Robustness Overestimation and Instability in TRADES
Jonathan Weiping Li
Ren-Wei Liang
Cheng-Han Yeh
Cheng-Chang Tsai
Kuanchun Yu
Chun-Shien Lu
Shang-Tse Chen
AAML
93
0
0
10 Oct 2024
Average Certified Radius is a Poor Metric for Randomized Smoothing
Average Certified Radius is a Poor Metric for Randomized Smoothing
Chenhao Sun
Yuhao Mao
Mark Niklas Muller
Martin Vechev
AAML
116
0
0
09 Oct 2024
Gradient-based Jailbreak Images for Multimodal Fusion Models
Gradient-based Jailbreak Images for Multimodal Fusion Models
Javier Rando
Hannah Korevaar
Erik Brinkman
Ivan Evtimov
Florian Tramèr
AAML
78
3
0
04 Oct 2024
Social Media Authentication and Combating Deepfakes using Semi-fragile
  Invisible Image Watermarking
Social Media Authentication and Combating Deepfakes using Semi-fragile Invisible Image Watermarking
Aakash Varma Nadimpalli
A. Rattani
AAMLWIGM
84
2
0
02 Oct 2024
Learning-Augmented Robust Algorithmic Recourse
Learning-Augmented Robust Algorithmic Recourse
Kshitij Kayastha
Vasilis Gkatzelis
Shahin Jabbari
84
0
0
02 Oct 2024
Characterizing Model Robustness via Natural Input Gradients
Characterizing Model Robustness via Natural Input Gradients
Adrian Rodriguez-Munoz
Tongzhou Wang
Antonio Torralba
AAML
87
1
0
30 Sep 2024
MASKDROID: Robust Android Malware Detection with Masked Graph
  Representations
MASKDROID: Robust Android Malware Detection with Masked Graph Representations
Jingnan Zheng
Jiaohao Liu
An Zhang
Jun Zeng
Ziqi Yang
Zhenkai Liang
Tat-Seng Chua
AAML
62
2
0
29 Sep 2024
Adversarial Challenges in Network Intrusion Detection Systems: Research
  Insights and Future Prospects
Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects
Sabrine Ennaji
Fabio De Gaspari
Dorjan Hitaj
Alicia Kbidi
Luigi V. Mancini
AAML
97
0
0
27 Sep 2024
Revisiting Acoustic Features for Robust ASR
Revisiting Acoustic Features for Robust ASR
Muhammad Ahmed Shah
Bhiksha Raj
AAML
43
0
0
24 Sep 2024
Improving Adversarial Robustness for 3D Point Cloud Recognition at
  Test-Time through Purified Self-Training
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training
Jinpeng Lin
Xulei Yang
Tianrui Li
Xun Xu
3DPC
76
0
0
23 Sep 2024
Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online
  Robust Distillation
Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online Robust Distillation
Tsung-Han Wu
Hung-Ting Su
Shang-Tse Chen
Winston H. Hsu
95
1
0
19 Sep 2024
Data Poisoning and Leakage Analysis in Federated Learning
Data Poisoning and Leakage Analysis in Federated Learning
Wenqi Wei
Tiansheng Huang
Zachary Yahn
Anoop Singhal
Margaret Loper
Ling Liu
FedMLSILM
45
0
0
19 Sep 2024
NPAT Null-Space Projected Adversarial Training Towards Zero
  Deterioration
NPAT Null-Space Projected Adversarial Training Towards Zero Deterioration
Hanyi Hu
Qiao Han
Kui Chen
Yao Yang
AAML
64
0
0
18 Sep 2024
Real-world Adversarial Defense against Patch Attacks based on Diffusion
  Model
Real-world Adversarial Defense against Patch Attacks based on Diffusion Model
Xingxing Wei
Caixin Kang
Yinpeng Dong
Ziyi Wang
Shouwei Ruan
Yubo Chen
Hang Su
AAMLDiffM
69
3
0
14 Sep 2024
Top-GAP: Integrating Size Priors in CNNs for more Interpretability,
  Robustness, and Bias Mitigation
Top-GAP: Integrating Size Priors in CNNs for more Interpretability, Robustness, and Bias Mitigation
Lars Nieradzik
Henrike Stephani
Janis Keuper
FAttAAML
65
0
0
07 Sep 2024
LightPure: Realtime Adversarial Image Purification for Mobile Devices
  Using Diffusion Models
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models
Hossein Khalili
Seongbin Park
Vincent Li
Brandan Bright
Ali Payani
Ramana Rao Kompella
Nader Sehatbakhsh
AAML
72
1
0
31 Aug 2024
PromptSmooth: Certifying Robustness of Medical Vision-Language Models
  via Prompt Learning
PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning
Noor Hussein
Fahad Shamshad
Muzammal Naseer
Karthik Nandakumar
AAML
103
4
0
29 Aug 2024
Certified Causal Defense with Generalizable Robustness
Certified Causal Defense with Generalizable Robustness
Yiran Qiao
Yu Yin
Chen Chen
Jing Ma
AAMLOODCML
179
0
0
28 Aug 2024
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