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Explaining and Harnessing Adversarial Examples
v1v2v3 (latest)

Explaining and Harnessing Adversarial Examples

20 December 2014
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
    AAMLGAN
ArXiv (abs)PDFHTML

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,334 papers shown
Title
Wasserstein Distributionally Robust Nonparametric Regression
Wasserstein Distributionally Robust Nonparametric Regression
Changyu Liu
Yuling Jiao
Junhui Wang
Jian Huang
OOD
69
0
0
12 May 2025
Security through the Eyes of AI: How Visualization is Shaping Malware Detection
Security through the Eyes of AI: How Visualization is Shaping Malware Detection
Matteo Brosolo
A. Aazami
R. Agarwal
M. Prabhakaran
S. Nicolazzo
Antonino Nocera
V. P.
Vinod Puthuvath
AAML
79
0
0
12 May 2025
Towards Understanding Deep Learning Model in Image Recognition via Coverage Test
Towards Understanding Deep Learning Model in Image Recognition via Coverage Test
Wenkai Li
Xiaoqi Li
Yingjie Mao
Yishun Wang
45
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
58
0
0
11 May 2025
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
Yu Qiao
Huy Q. Le
Avi Deb Raha
Phuong-Nam Tran
Apurba Adhikary
Mengchun Zhang
Loc X. Nguyen
Eui-nam Huh
Dusit Niyato
Choong Seon Hong
AI4CE
161
1
0
11 May 2025
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection
Xia Du
Jiajie Zhu
Jizhe Zhou
Chi-Man Pun
Zheng Lin
Cong Wu
Zhaoyu Chen
Jun Luo
AAML
78
0
0
11 May 2025
Learning from the Good Ones: Risk Profiling-Based Defenses Against Evasion Attacks on DNNs
Learning from the Good Ones: Risk Profiling-Based Defenses Against Evasion Attacks on DNNs
Mohammed Elnawawy
Gargi Mitra
Shahrear Iqbal
Karthik Pattabiraman
AAML
81
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
67
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
61
2
0
09 May 2025
Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients
Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients
Jinsheng Yuan
Yuhang Hao
Weisi Guo
Yun Wu
Chongyan Gu
AAMLFedML
52
0
0
09 May 2025
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions
Shashank Agnihotri
Amaan Ansari
Annika Dackermann
Fabian Rösch
Margret Keuper
160
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
155
1
0
08 May 2025
Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know'
Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know'
Shireen Kudukkil Manchingal
Andrew Bradley
Julian F. P. Kooij
Keivan K1 Shariatmadar
Neil Yorke-Smith
Fabio Cuzzolin
167
1
0
08 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
72
0
0
07 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
46
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
AAMLEDL
187
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
170
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
Ziyi Wang
Hongwei Li
Rui Zhang
Wenbo Jiang
Kangjie Chen
Tianwei Zhang
Qingchuan Zhao
Guowen Xu
AAML
99
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
AAMLAI4CE
96
4
0
06 May 2025
ALMA: Aggregated Lipschitz Maximization Attack on Auto-encoders
ALMA: Aggregated Lipschitz Maximization Attack on Auto-encoders
Chethan Krishnamurthy Ramanaik
Arjun Roy
Eirini Ntoutsi
AAML
47
0
0
06 May 2025
Sustainable Smart Farm Networks: Enhancing Resilience and Efficiency with Decision Theory-Guided Deep Reinforcement Learning
Sustainable Smart Farm Networks: Enhancing Resilience and Efficiency with Decision Theory-Guided Deep Reinforcement Learning
Dian Chen
Zelin Wan
D. Ha
Jin-Hee Cho
27
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
406
0
0
06 May 2025
Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples
Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples
Jian-Wei Li
Wen-Ze Shao
AAML
68
0
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
120
0
0
06 May 2025
Impact Analysis of Inference Time Attack of Perception Sensors on Autonomous Vehicles
Impact Analysis of Inference Time Attack of Perception Sensors on Autonomous Vehicles
Hanlin Chen
Simin Chen
Wenyu Li
Wei Yang
Yiheng Feng
AAML
318
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
463
0
0
05 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
107
1
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
73
0
0
04 May 2025
Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles
Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles
Amir Ali Farzin
Yuen-Man Pun
Iman Shames
45
0
0
04 May 2025
Rogue Cell: Adversarial Attack and Defense in Untrusted O-RAN Setup Exploiting the Traffic Steering xApp
Rogue Cell: Adversarial Attack and Defense in Untrusted O-RAN Setup Exploiting the Traffic Steering xApp
Eran Aizikovich
D. Mimran
Edita Grolman
Yuval Elovici
A. Shabtai
62
0
0
03 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
445
0
0
02 May 2025
LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures
LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures
Francisco Aguilera-Martínez
Fernando Berzal
PILM
123
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
126
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
AAMLVLM
130
2
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
76
0
0
02 May 2025
Explainable AI Based Diagnosis of Poisoning Attacks in Evolutionary Swarms
Explainable AI Based Diagnosis of Poisoning Attacks in Evolutionary Swarms
Mehrdad Asadi
Roxana Rădulescu
Ann Nowé
AAML
56
0
0
02 May 2025
Adaptive Branch-and-Bound Tree Exploration for Neural Network Verification
Adaptive Branch-and-Bound Tree Exploration for Neural Network Verification
Kota Fukuda
Guanqin Zhang
Zhenya Zhang
Yulei Sui
Jianjun Zhao
107
0
0
02 May 2025
A General Framework for Property-Driven Machine Learning
A General Framework for Property-Driven Machine Learning
Thomas Flinkow
Marco Casadio
Colin Kessler
Rosemary Monahan
Ekaterina Komendantskaya
AAML
132
2
0
01 May 2025
A Mathematical Philosophy of Explanations in Mechanistic Interpretability -- The Strange Science Part I.i
A Mathematical Philosophy of Explanations in Mechanistic Interpretability -- The Strange Science Part I.i
Kola Ayonrinde
Louis Jaburi
MILM
175
1
0
01 May 2025
How to Backdoor the Knowledge Distillation
How to Backdoor the Knowledge Distillation
Chien-Sheng Wu
Qian Ma
P. Mitra
Sencun Zhu
AAML
85
0
0
30 Apr 2025
Diffusion-based Adversarial Identity Manipulation for Facial Privacy Protection
Diffusion-based Adversarial Identity Manipulation for Facial Privacy Protection
Liqin Wang
Qianyue Hu
Wei Lu
Xiangyang Luo
DiffMAAMLPICV
121
0
0
30 Apr 2025
Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search
Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search
Nuojin Cheng
Alireza Doostan
Stephen Becker
109
0
0
30 Apr 2025
A Domain-Agnostic Scalable AI Safety Ensuring Framework
A Domain-Agnostic Scalable AI Safety Ensuring Framework
Beomjun Kim
Kangyeon Kim
Sunwoo Kim
Heejin Ahn
155
0
0
29 Apr 2025
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift
Jiamin Chang
Haoyang Li
Hammond Pearce
Ruoxi Sun
Yue Liu
Minhui Xue
83
0
0
28 Apr 2025
A Cryptographic Perspective on Mitigation vs. Detection in Machine Learning
A Cryptographic Perspective on Mitigation vs. Detection in Machine Learning
Greg Gluch
Shafi Goldwasser
AAML
135
0
0
28 Apr 2025
Deep Physics Prior for First Order Inverse Optimization
Deep Physics Prior for First Order Inverse Optimization
Haoyu Yang
Kamyar Azizzadenesheli
Haoxing Ren
PINNAI4CE
173
0
0
28 Apr 2025
CapsFake: A Multimodal Capsule Network for Detecting Instruction-Guided Deepfakes
CapsFake: A Multimodal Capsule Network for Detecting Instruction-Guided Deepfakes
Tuan Nguyen
Naseem Khan
Issa Khalil
AAML
167
0
0
27 Apr 2025
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers
Elad Sofer
Tomer Shaked
Caroline Chaux
Nir Shlezinger
AAML
74
1
0
26 Apr 2025
Edge-Based Learning for Improved Classification Under Adversarial Noise
Edge-Based Learning for Improved Classification Under Adversarial Noise
Manish Kansana
Keyan Alexander Rahimi
Elias Hossain
Iman Dehzangi
Noorbakhsh Amiri Golilarz
AAML
63
0
0
25 Apr 2025
Augmenting Perceptual Super-Resolution via Image Quality Predictors
Augmenting Perceptual Super-Resolution via Image Quality Predictors
Fengjia Zhang
Samrudhdhi B. Rangrej
Tristan Aumentado-Armstrong
Afsaneh Fazly
Alex Levinshtein
SupR
136
0
0
25 Apr 2025
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