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1412.6572
Cited By
Explaining and Harnessing Adversarial Examples
20 December 2014
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
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Papers citing
"Explaining and Harnessing Adversarial Examples"
50 / 3,605 papers shown
Title
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos
Songping Wang
Hanqing Liu
Yueming Lyu
Xiantao Hu
Ziwen He
Wenjie Wang
Caifeng Shan
Lei Wang
AAML
166
0
0
21 Apr 2025
aiXamine: Simplified LLM Safety and Security
Fatih Deniz
Dorde Popovic
Yazan Boshmaf
Euisuh Jeong
M. Ahmad
Sanjay Chawla
Issa M. Khalil
ELM
80
0
0
21 Apr 2025
Unifying Image Counterfactuals and Feature Attributions with Latent-Space Adversarial Attacks
Jeremy Goldwasser
Giles Hooker
AAML
36
0
0
21 Apr 2025
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
Yi Yu
Song Xia
Xun Lin
Chenqi Kong
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex C. Kot
AAML
SILM
223
0
0
20 Apr 2025
Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach
Hangyu Liu
Bo Peng
Pengxiang Ding
Donglin Wang
AAML
28
0
0
19 Apr 2025
Hadamard product in deep learning: Introduction, Advances and Challenges
Grigorios G. Chrysos
Yongtao Wu
Razvan Pascanu
Philip Torr
V. Cevher
AAML
98
1
0
17 Apr 2025
DYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-based Intrusion Detection Against Adversarial Attacks
Jing Chen
Onat Gungor
Zhengli Shang
Elvin Li
T. Rosing
AAML
44
0
0
17 Apr 2025
RDI: An adversarial robustness evaluation metric for deep neural networks based on sample clustering features
Jialei Song
Xingquan Zuo
Feiyang Wang
Hai Huang
Tianle Zhang
AAML
169
0
0
16 Apr 2025
Human Aligned Compression for Robust Models
Samuel Räber
Andreas Plesner
Till Aczél
Roger Wattenhofer
AAML
42
0
0
16 Apr 2025
Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability
Jiani Liu
Zhiyuan Wang
Zeliang Zhang
Chao Huang
Susan Liang
Yunlong Tang
Chenliang Xu
AAML
39
0
0
15 Apr 2025
Alleviating the Fear of Losing Alignment in LLM Fine-tuning
Kang Yang
Guanhong Tao
X. Chen
Jun Xu
40
0
0
13 Apr 2025
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition
Rupayan Mallick
Sibo Dong
Nataniel Ruiz
Sarah Adel Bargal
DiffM
54
0
0
08 Apr 2025
On the Robustness of GUI Grounding Models Against Image Attacks
Haoren Zhao
Tianyi Chen
Zhen Wang
AAML
44
2
0
07 Apr 2025
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models
Yoojin Jung
Byung Cheol Song
AAML
VLM
MQ
41
0
0
07 Apr 2025
Don't Lag, RAG: Training-Free Adversarial Detection Using RAG
Roie Kazoom
Raz Lapid
Moshe Sipper
Ofer Hadar
VLM
ObjD
AAML
71
0
0
07 Apr 2025
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems
S. Mandelli
Vinod Puthuvath
Anderson Rocha
Rafidha Rehiman K. A.
Mauro Conti
AAML
38
0
0
06 Apr 2025
Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis
Sijia Zhou
Yunwen Lei
Ata Kabán
34
0
0
03 Apr 2025
Towards Assessing Deep Learning Test Input Generators
Seif Mzoughi
Ahmed Hajyahmed
Mohamed Elshafei
Foutse Khomh anb Diego Elias Costa
D. Costa
AAML
40
0
0
03 Apr 2025
Safeguarding Vision-Language Models: Mitigating Vulnerabilities to Gaussian Noise in Perturbation-based Attacks
Jiawei Wang
Yushen Zuo
Yuanjun Chai
Zichen Liu
Yichen Fu
Yichun Feng
Kin-Man Lam
AAML
VLM
49
0
0
02 Apr 2025
Geometric Median Matching for Robust k-Subset Selection from Noisy Data
Anish Acharya
Sujay Sanghavi
Alexandros G. Dimakis
Inderjit S Dhillon
AAML
62
0
0
01 Apr 2025
Catch Me if You Search: When Contextual Web Search Results Affect the Detection of Hallucinations
Mahjabin Nahar
Eun-Ju Lee
Jin Won Park
Dongwon Lee
HILM
75
0
0
01 Apr 2025
Deep Neural Nets as Hamiltonians
Mike Winer
Boris Hanin
208
0
0
31 Mar 2025
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Jingzheng Li
Xianglong Liu
Shikui Wei
Zhijun Chen
Yangqiu Song
Qing Guo
Xianqi Yang
Yanjun Pu
Jiakai Wang
AAML
ELM
74
0
0
31 Mar 2025
A Survey on Unlearnable Data
Jiahao Li
Yiqiang Chen
Yunbing Xing
Yang Gu
Xiangyuan Lan
AAML
58
0
0
30 Mar 2025
Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better
MingWei Zhou
Xiaobing Pei
AAML
230
0
0
30 Mar 2025
Nested Stochastic Gradient Descent for (Generalized) Sinkhorn Distance-Regularized Distributionally Robust Optimization
Yue Yang
Yi Zhou
Zhaosong Lu
49
0
0
29 Mar 2025
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving
Alexandra Arzberger
Ramin Tavakoli Kolagari
AAML
234
0
0
21 Mar 2025
MetaSel: A Test Selection Approach for Fine-tuned DNN Models
Amin Abbasishahkoo
Mahboubeh Dadkhah
Lionel C. Briand
Dayi Lin
49
0
0
21 Mar 2025
SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition
Zeqi Zheng
Yanchen Huang
Yingchao Yu
Zizheng Zhu
Junfeng Tang
Zhaofei Yu
Yaochu Jin
44
0
0
20 Mar 2025
TarPro: Targeted Protection against Malicious Image Editing
Kaixin Shen
Ruijie Quan
Jiaxu Miao
Jun Xiao
Yi Yang
62
1
0
18 Mar 2025
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Geometric Score-based Black-box Attack
Md. Farhamdur Reza
Richeng Jin
Tianfu Wu
H. Dai
AAML
47
0
0
17 Mar 2025
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
Yuyao Zhang
Yingzhe Xu
Junyu Shi
L. Zhang
Shengshan Hu
Minghui Li
Yanjun Zhang
AAML
56
1
0
17 Mar 2025
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
Lilin Zhang
Chengpei Wu
Ning Yang
39
0
0
14 Mar 2025
Do computer vision foundation models learn the low-level characteristics of the human visual system?
Yancheng Cai
Fei Yin
Dounia Hammou
Rafal Mantiuk
VLM
Presented at
ResearchTrend Connect | VLM
on
14 Mar 2025
147
1
0
13 Mar 2025
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain
Yuanmin Huang
Mi Zhang
Zhaoxiang Wang
Wenxuan Li
Min Yang
AAML
AI4TS
61
0
0
12 Mar 2025
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks
Jin Li
Ziqiang He
Anwei Luo
Jian-Fang Hu
Zhong Wang
Xiangui Kang
DiffM
69
0
0
12 Mar 2025
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations
Kathleen Anderson
Thomas Martinetz
CVBM
73
0
0
12 Mar 2025
MIGA: Mutual Information-Guided Attack on Denoising Models for Semantic Manipulation
Guanghao Li
Mingzhi Chen
Hao Yu
Shuting Dong
Wenhao Jiang
Ming Tang
Chun Yuan
DiffM
AAML
51
0
0
10 Mar 2025
Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs
Amira Guesmi
B. Ouni
Muhammad Shafique
MQ
AAML
36
0
0
10 Mar 2025
Long-tailed Adversarial Training with Self-Distillation
Seungju Cho
Hongsin Lee
Changick Kim
AAML
TTA
265
0
0
09 Mar 2025
Exploring Adversarial Transferability between Kolmogorov-arnold Networks
Songping Wang
Xinquan Yue
Yueming Lyu
Caifeng Shan
AAML
76
1
0
08 Mar 2025
Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models
Thomas Winninger
Boussad Addad
Katarzyna Kapusta
AAML
68
0
0
08 Mar 2025
Generalizable Image Repair for Robust Visual Autonomous Racing
Carson Sobolewski
Zhenjiang Mao
Kshitij Vejre
Ivan Ruchkin
57
0
0
07 Mar 2025
Scale-Invariant Adversarial Attack against Arbitrary-scale Super-resolution
Yihao Huang
Xin Luo
Yihao Huang
Felix Juefei-Xu
Xiaojun Jia
Weikai Miao
G. Pu
Yang Liu
64
1
0
06 Mar 2025
Predicting Practically? Domain Generalization for Predictive Analytics in Real-world Environments
Hanyu Duan
Yi Yang
Ahmed Abbasi
Kar Yan Tam
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97
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Transformer Meets Twicing: Harnessing Unattended Residual Information
Laziz U. Abdullaev
Tan M. Nguyen
43
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02 Mar 2025
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions
Wang YuHang
Junkang Guo
Aolei Liu
Kaihao Wang
Zaitong Wu
Zhenyu Liu
Wenfei Yin
Jian Liu
AAML
50
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02 Mar 2025
AMUN: Adversarial Machine UNlearning
A. Boroojeny
Hari Sundaram
Varun Chandrasekaran
MU
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48
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02 Mar 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Ruta Binkyte
Ivaxi Sheth
Zhijing Jin
Mohammad Havaei
Bernhard Schölkopf
Mario Fritz
215
0
0
28 Feb 2025
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
Chanhui Lee
Yeonghwan Song
Jeany Son
AAML
216
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28 Feb 2025
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