ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1706.06083
  4. Cited By
Towards Deep Learning Models Resistant to Adversarial Attacks

Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017
A. Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
    SILM
    OOD
ArXivPDFHTML

Papers citing "Towards Deep Learning Models Resistant to Adversarial Attacks"

50 / 6,508 papers shown
Title
Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving
Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving
Jingzheng Li
Tiancheng Wang
Xingyu Peng
Jiacheng Chen
Zhijun Chen
Bing Li
Xianglong Liu
ELM
2
0
0
20 May 2025
AudioJailbreak: Jailbreak Attacks against End-to-End Large Audio-Language Models
AudioJailbreak: Jailbreak Attacks against End-to-End Large Audio-Language Models
Guangke Chen
Fu Song
Zhe Zhao
Xiaojun Jia
Yang Liu
Yanchen Qiao
Weizhe Zhang
AuLLM
AAML
2
0
0
20 May 2025
Adversarially Pretrained Transformers may be Universally Robust In-Context Learners
Adversarially Pretrained Transformers may be Universally Robust In-Context Learners
Soichiro Kumano
Hiroshi Kera
Toshihiko Yamasaki
AAML
2
0
0
20 May 2025
On the Mechanisms of Adversarial Data Augmentation for Robust and Adaptive Transfer Learning
On the Mechanisms of Adversarial Data Augmentation for Robust and Adaptive Transfer Learning
Hana Satou
Alan Mitkiy
AAML
2
0
0
19 May 2025
Counter-Inferential Behavior in Natural and Artificial Cognitive Systems
Counter-Inferential Behavior in Natural and Artificial Cognitive Systems
Serge Dolgikh
2
0
0
19 May 2025
Symmetry-Breaking Descent for Invariant Cost Functionals
Symmetry-Breaking Descent for Invariant Cost Functionals
Mikhail Osipov
2
0
0
19 May 2025
FlowPure: Continuous Normalizing Flows for Adversarial Purification
FlowPure: Continuous Normalizing Flows for Adversarial Purification
Elias Collaert
Abel Rodríguez
Sander Joos
Lieven Desmet
Vera Rimmer
AAML
7
0
0
19 May 2025
Causality-Inspired Robustness for Nonlinear Models via Representation Learning
Causality-Inspired Robustness for Nonlinear Models via Representation Learning
Marin Šola
Peter Buhlmann
Xinwei Shen
OOD
7
0
0
19 May 2025
Spiking Neural Network: a low power solution for physical layer authentication
Spiking Neural Network: a low power solution for physical layer authentication
Jung Hoon Lee
Sujith Vijayan
7
0
0
19 May 2025
Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning
Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning
A. Liu
Haocheng Yuan
Xiao Guo
Hui Ma
Wanyi Zhuang
...
Yanyan Liang
Weiqiang Wang
Jun Wan
Xiaoming Liu
Zhen Lei
AAML
CVBM
19
0
0
19 May 2025
Two out of Three (ToT): using self-consistency to make robust predictions
Two out of Three (ToT): using self-consistency to make robust predictions
Jung Hoon Lee
Sujith Vijayan
OOD
9
0
0
19 May 2025
Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge
Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge
Luyu Chen
Zeyu Zhang
Haoran Tan
Quanyu Dai
Hao-ran Yang
Zhenhua Dong
Xu Chen
4
0
0
18 May 2025
SPIRIT: Patching Speech Language Models against Jailbreak Attacks
SPIRIT: Patching Speech Language Models against Jailbreak Attacks
Amirbek Djanibekov
Nurdaulet Mukhituly
Kentaro Inui
Hanan Aldarmaki
Nils Lukas
AAML
2
0
0
18 May 2025
Fixed Point Explainability
Fixed Point Explainability
Emanuele La Malfa
Jon Vadillo
Marco Molinari
Michael Wooldridge
2
0
0
18 May 2025
Black-box Adversaries from Latent Space: Unnoticeable Attacks on Human Pose and Shape Estimation
Black-box Adversaries from Latent Space: Unnoticeable Attacks on Human Pose and Shape Estimation
Zhiying Li
Guanggang Geng
Yeying Jin
Zhizhi Guo
Bruce Gu
Jidong Huo
Zhaoxin Fan
Wenjun Wu
AAML
4
0
0
17 May 2025
Anti-Sensing: Defense against Unauthorized Radar-based Human Vital Sign Sensing with Physically Realizable Wearable Oscillators
Anti-Sensing: Defense against Unauthorized Radar-based Human Vital Sign Sensing with Physically Realizable Wearable Oscillators
Md Farhan Tasnim Oshim
Nigel Doering
Bashima Islam
Tsui-Wei Weng
Tauhidur Rahman
12
0
0
16 May 2025
EnvInjection: Environmental Prompt Injection Attack to Multi-modal Web Agents
EnvInjection: Environmental Prompt Injection Attack to Multi-modal Web Agents
Xilong Wang
John Bloch
Zedian Shao
Yuepeng Hu
Shuyan Zhou
Neil Zhenqiang Gong
AAML
LLMAG
16
0
0
16 May 2025
Evaluating the Robustness of Adversarial Defenses in Malware Detection Systems
Evaluating the Robustness of Adversarial Defenses in Malware Detection Systems
Mostafa Jafari
Alireza Shameli-Sendi
AAML
26
0
0
14 May 2025
Adversarial Suffix Filtering: a Defense Pipeline for LLMs
Adversarial Suffix Filtering: a Defense Pipeline for LLMs
David Khachaturov
Robert D. Mullins
AAML
26
0
0
14 May 2025
Visual Watermarking in the Era of Diffusion Models: Advances and Challenges
Visual Watermarking in the Era of Diffusion Models: Advances and Challenges
Junxian Duan
Jiyang Guan
Wenkui Yang
Ran He
WIGM
48
0
0
13 May 2025
DArFace: Deformation Aware Robustness for Low Quality Face Recognition
DArFace: Deformation Aware Robustness for Low Quality Face Recognition
Sadaf Gulshad
Abdullah Aldahlawi Thakaa
CVBM
49
0
0
13 May 2025
Wasserstein Distributionally Robust Nonparametric Regression
Wasserstein Distributionally Robust Nonparametric Regression
Changyu Liu
Yuling Jiao
Junhui Wang
Jian Huang
OOD
34
0
0
12 May 2025
Convergence of Time-Averaged Mean Field Gradient Descent Dynamics for Continuous Multi-Player Zero-Sum Games
Convergence of Time-Averaged Mean Field Gradient Descent Dynamics for Continuous Multi-Player Zero-Sum Games
Yulong Lu
Pierre Monmarché
MLT
34
0
0
12 May 2025
A Formally Verified Robustness Certifier for Neural Networks (Extended Version)
A Formally Verified Robustness Certifier for Neural Networks (Extended Version)
James Tobler
Hira Taqdees Syeda
Toby Murray
AAML
29
0
0
11 May 2025
A stochastic gradient method for trilevel optimization
A stochastic gradient method for trilevel optimization
Tommaso Giovannelli
G. Kent
Luis Nunes Vicente
34
0
0
11 May 2025
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification
Dongyoon Yang
Jihu Lee
Yongdai Kim
29
0
0
10 May 2025
Dynamic Domain Information Modulation Algorithm for Multi-domain Sentiment Analysis
Dynamic Domain Information Modulation Algorithm for Multi-domain Sentiment Analysis
Chunyi Yue
Ang Li
34
0
0
10 May 2025
Engineering Risk-Aware, Security-by-Design Frameworks for Assurance of Large-Scale Autonomous AI Models
Engineering Risk-Aware, Security-by-Design Frameworks for Assurance of Large-Scale Autonomous AI Models
Krti Tallam
31
0
0
09 May 2025
Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks
Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks
Yixin Cheng
Hongcheng Guo
Yangming Li
Leonid Sigal
AAML
WaLM
59
0
0
08 May 2025
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
Hanxun Huang
Sarah Monazam Erfani
Yige Li
Xingjun Ma
James Bailey
AAML
53
0
0
08 May 2025
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
Yi Yu
Song Xia
Siyuan Yang
Chenqi Kong
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex Chichung Kot
46
0
0
08 May 2025
Crafting Physical Adversarial Examples by Combining Differentiable and Physically Based Renders
Crafting Physical Adversarial Examples by Combining Differentiable and Physically Based Renders
Yuqiu Liu
Huanqian Yan
Xiaopei Zhu
Xiaolin Hu
L. Tang
Hang Su
Chen Lv
29
0
0
07 May 2025
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain
Spyridon Raptis
Haralampos-G. Stratigopoulos
AAML
28
0
0
07 May 2025
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks
Xuyang Wang
Siyuan Duan
Qizhi Li
Guiduo Duan
Yuan Sun
Dezhong Peng
AAML
EDL
65
0
0
07 May 2025
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey
Shashank Kapoor
Sanjay Surendranath Girija
Lakshit Arora
Dipen Pradhan
Ankit Shetgaonkar
Aman Raj
AAML
77
0
0
06 May 2025
Robustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks
Robustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks
Sun Haoxuan
Hong Yan
Zhan Jiahui
Chen Haoxing
Lan Jun
Zhu Huijia
Wang Weiqiang
Zhang Liqing
Zhang Jianfu
AAML
150
0
0
06 May 2025
BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models
BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models
Zihan Wang
Hongwei Li
Rui Zhang
Wenbo Jiang
Kangjie Chen
Tianwei Zhang
Qingchuan Zhao
Jiawei Li
AAML
46
0
0
06 May 2025
Data-Driven Falsification of Cyber-Physical Systems
Data-Driven Falsification of Cyber-Physical Systems
Atanu Kundu
Sauvik Gon
Rajarshi Ray
AAML
AI4CE
41
3
0
06 May 2025
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense
Kirill Lukyanov
Mikhail Drobyshevskiy
Georgii Sazonov
Mikhail Soloviov
Ilya Makarov
GNN
51
0
0
06 May 2025
Adversarial Robustness Analysis of Vision-Language Models in Medical Image Segmentation
Adversarial Robustness Analysis of Vision-Language Models in Medical Image Segmentation
Anjila Budathoki
Manish Dhakal
AAML
39
0
0
05 May 2025
Entropy-Guided Sampling of Flat Modes in Discrete Spaces
Entropy-Guided Sampling of Flat Modes in Discrete Spaces
Pinaki Mohanty
Riddhiman Bhattacharya
Ruqi Zhang
173
0
0
05 May 2025
Robustness questions the interpretability of graph neural networks: what to do?
Robustness questions the interpretability of graph neural networks: what to do?
Kirill Lukyanov
Georgii Sazonov
Serafim Boyarsky
Ilya Makarov
AAML
182
0
0
05 May 2025
Lightweight Defense Against Adversarial Attacks in Time Series Classification
Lightweight Defense Against Adversarial Attacks in Time Series Classification
Yi Han
AAML
42
0
0
04 May 2025
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods
Mahdi Dhaini
Ege Erdogan
Nils Feldhus
Gjergji Kasneci
49
0
0
02 May 2025
Risk Analysis and Design Against Adversarial Actions
Risk Analysis and Design Against Adversarial Actions
M. Campi
A. Carè
Luis G. Crespo
S. Garatti
Federico A. Ramponi
AAML
159
0
0
02 May 2025
Constrained Network Adversarial Attacks: Validity, Robustness, and Transferability
Constrained Network Adversarial Attacks: Validity, Robustness, and Transferability
Anass Grini
Oumaima Taheri
Btissam El Khamlichi
Amal El Fallah-Seghrouchni
AAML
49
0
0
02 May 2025
Negative Stepsizes Make Gradient-Descent-Ascent Converge
Negative Stepsizes Make Gradient-Descent-Ascent Converge
Henry Shugart
Jason M. Altschuler
30
0
0
02 May 2025
Transferable Adversarial Attacks on Black-Box Vision-Language Models
Transferable Adversarial Attacks on Black-Box Vision-Language Models
Kai Hu
Weichen Yu
Lefei Zhang
Alexander Robey
Andy Zou
Chengming Xu
Haoqi Hu
Matt Fredrikson
AAML
VLM
64
1
0
02 May 2025
Quantum Support Vector Regression for Robust Anomaly Detection
Quantum Support Vector Regression for Robust Anomaly Detection
Kilian Tscharke
Maximilian Wendlinger
Sebastian Issel
Pascal Debus
AAML
32
0
0
02 May 2025
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
Gaozheng Pei
Ke Ma
Yingfei Sun
Qianqian Xu
Qingming Huang
DiffM
45
0
0
02 May 2025
1234...129130131
Next