ResearchTrend.AI
  • Papers
  • Communities
  • Organizations
  • 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. 1412.6572
  4. Cited By
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 / 8,412 papers shown
Title
Stealthy Targeted Backdoor Attacks against Image Captioning
Stealthy Targeted Backdoor Attacks against Image Captioning
Wenshu Fan
Hongwei Li
Wenbo Jiang
Meng Hao
Shui Yu
Xiao Zhang
DiffM
75
6
0
09 Jun 2024
Self-supervised Adversarial Training of Monocular Depth Estimation
  against Physical-World Attacks
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks
Zhiyuan Cheng
Cheng Han
James Liang
Qifan Wang
Xiangyu Zhang
Dongfang Liu
AAML
81
5
0
09 Jun 2024
DMS: Addressing Information Loss with More Steps for Pragmatic
  Adversarial Attacks
DMS: Addressing Information Loss with More Steps for Pragmatic Adversarial Attacks
Zhiyu Zhu
Jiayu Zhang
Xinyi Wang
Zhibo Jin
Huaming Chen
AAML
75
1
0
09 Jun 2024
Perturbation Towards Easy Samples Improves Targeted Adversarial
  Transferability
Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability
Junqi Gao
Biqing Qi
Yao Li
Zhichang Guo
Dong Li
Yuming Xing
Dazhi Zhang
AAML
88
7
0
08 Jun 2024
Exploring Adversarial Robustness of Deep State Space Models
Exploring Adversarial Robustness of Deep State Space Models
Biqing Qi
Yang Luo
Junqi Gao
Pengfei Li
Kai Tian
Zhiyuan Ma
Bowen Zhou
AAML
76
1
0
08 Jun 2024
Enhancing Adversarial Transferability via Information Bottleneck
  Constraints
Enhancing Adversarial Transferability via Information Bottleneck Constraints
Biqing Qi
Junqi Gao
Jianxing Liu
Ligang Wu
Bowen Zhou
AAML
81
2
0
08 Jun 2024
Representation Learning with Conditional Information Flow Maximization
Representation Learning with Conditional Information Flow Maximization
Dou Hu
Lingwei Wei
Wei Zhou
Songlin Hu
SSL
107
1
0
08 Jun 2024
Large Language Model Assisted Adversarial Robustness Neural Architecture
  Search
Large Language Model Assisted Adversarial Robustness Neural Architecture Search
Rui Zhong
Yang Cao
Jun Yu
M. Munetomo
73
1
0
08 Jun 2024
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
Hao Fang
Jiawei Kong
Wenbo Yu
Bin Chen
Jiawei Li
Hao Wu
Ke Xu
Ke Xu
AAMLVLM
135
14
0
08 Jun 2024
The Price of Implicit Bias in Adversarially Robust Generalization
The Price of Implicit Bias in Adversarially Robust Generalization
Nikolaos Tsilivis
Natalie Frank
Nathan Srebro
Julia Kempe
114
4
0
07 Jun 2024
A Survey of Fragile Model Watermarking
A Survey of Fragile Model Watermarking
Zhenzhe Gao
Yu Cheng
Zhaoxia Yin
AAML
84
0
0
07 Jun 2024
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person
  Generalization in Activity Recognition
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition
Junru Zhang
Lang Feng
Zhidan Liu
Yuhan Wu
Yang He
Yabo Dong
Duanqing Xu
97
4
0
07 Jun 2024
MeGA: Merging Multiple Independently Trained Neural Networks Based on
  Genetic Algorithm
MeGA: Merging Multiple Independently Trained Neural Networks Based on Genetic Algorithm
Daniel Yun
FedMLMoMe
63
1
0
07 Jun 2024
CTBENCH: A Library and Benchmark for Certified Training
CTBENCH: A Library and Benchmark for Certified Training
Yuhao Mao
Stefan Balauca
Martin Vechev
OOD
137
5
0
07 Jun 2024
Batch-in-Batch: a new adversarial training framework for initial
  perturbation and sample selection
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection
Yinting Wu
Pai Peng
Bo Cai
Le Li
.
AAML
81
0
0
06 Jun 2024
Shaping History: Advanced Machine Learning Techniques for the Analysis
  and Dating of Cuneiform Tablets over Three Millennia
Shaping History: Advanced Machine Learning Techniques for the Analysis and Dating of Cuneiform Tablets over Three Millennia
Danielle Kapon
Michael Fire
S. Gordin
127
1
0
06 Jun 2024
Position: Embracing Negative Results in Machine Learning
Position: Embracing Negative Results in Machine Learning
Florian Karl
Lukas Malte Kemeter
Gabriel Dax
Paulina Sierak
94
1
0
06 Jun 2024
Memorization in deep learning: A survey
Memorization in deep learning: A survey
Jiaheng Wei
Yanjun Zhang
Leo Yu Zhang
Ming Ding
Chao Chen
Kok-Leong Ong
Jun Zhang
Yang Xiang
121
7
0
06 Jun 2024
Principles of Designing Robust Remote Face Anti-Spoofing Systems
Principles of Designing Robust Remote Face Anti-Spoofing Systems
Xiang Xu
Tianchen Zhao
Zheng Zhang
Zhihua Li
Jon Wu
Alessandro Achille
Mani Srivastava
AAML
90
4
0
06 Jun 2024
Position: A Call to Action for a Human-Centered AutoML Paradigm
Position: A Call to Action for a Human-Centered AutoML Paradigm
Marius Lindauer
Florian Karl
A. Klier
Julia Moosbauer
Alexander Tornede
Andreas Mueller
Frank Hutter
Matthias Feurer
Bernd Bischl
92
8
0
05 Jun 2024
VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by
  Regularizing Unwanted Noise
VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by Regularizing Unwanted Noise
Zhixun He
Mukesh Singhal
79
1
0
05 Jun 2024
Distributional Adversarial Loss
Distributional Adversarial Loss
Saba Ahmadi
Siddharth Bhandari
Avrim Blum
Chen Dan
Prabhav Jain
83
0
0
05 Jun 2024
ZeroPur: Succinct Training-Free Adversarial Purification
ZeroPur: Succinct Training-Free Adversarial Purification
Xiuli Bi
Zonglin Yang
Bo Liu
Xiaodong Cun
Chi-Man Pun
147
0
0
05 Jun 2024
Defending Large Language Models Against Attacks With Residual Stream Activation Analysis
Defending Large Language Models Against Attacks With Residual Stream Activation Analysis
Amelia Kawasaki
Andrew Davis
Houssam Abbas
AAMLKELM
98
3
0
05 Jun 2024
Effects of Exponential Gaussian Distribution on (Double Sampling)
  Randomized Smoothing
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing
Youwei Shu
Xi Xiao
Derui Wang
Yuxin Cao
Siji Chen
Jason Xue
Linyi Li
Yue Liu
85
2
0
04 Jun 2024
PuFace: Defending against Facial Cloaking Attacks for Facial Recognition
  Models
PuFace: Defending against Facial Cloaking Attacks for Facial Recognition Models
Jing Wen
PICV
51
0
0
04 Jun 2024
Logic-Based Explainability: Past, Present & Future
Logic-Based Explainability: Past, Present & Future
Joao Marques-Silva
96
3
0
04 Jun 2024
Advancing Generalized Transfer Attack with Initialization Derived
  Bilevel Optimization and Dynamic Sequence Truncation
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation
Yaohua Liu
Jiaxin Gao
Xuan Liu
Xianghao Jiao
Xin-Yue Fan
Risheng Liu
100
1
0
04 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Feng Wu
Lei Cui
Shaowen Yao
Shui Yu
116
2
0
04 Jun 2024
MedFuzz: Exploring the Robustness of Large Language Models in Medical
  Question Answering
MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering
Robert Osazuwa Ness
Katie Matton
Hayden Helm
Sheng Zhang
Junaid Bajwa
Carey E. Priebe
Eric Horvitz
ELM
64
13
0
03 Jun 2024
Constraint-based Adversarial Example Synthesis
Constraint-based Adversarial Example Synthesis
Fang Yu
Ya-Yu Chi
Yu-Fang Chen
AAML
105
0
0
03 Jun 2024
Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud
Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud
Sifat Ut Taki
Spyridon Mastorakis
FedML
88
1
0
02 Jun 2024
Towards General Robustness Verification of MaxPool-based Convolutional
  Neural Networks via Tightening Linear Approximation
Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation
Yuan Xiao
Shiqing Ma
Juan Zhai
Chunrong Fang
Jinyuan Jia
Zhenyu Chen
AAML
90
1
0
02 Jun 2024
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial
  Training
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
Jiacheng Zhang
Feng Liu
Dawei Zhou
Jingfeng Zhang
Tongliang Liu
AAML
75
4
0
02 Jun 2024
VOICE: Variance of Induced Contrastive Explanations to quantify
  Uncertainty in Neural Network Interpretability
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability
Mohit Prabhushankar
Ghassan AlRegib
FAttUQCV
81
2
0
01 Jun 2024
Enhancing Noise Robustness of Retrieval-Augmented Language Models with
  Adaptive Adversarial Training
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training
Feiteng Fang
Yuelin Bai
Shiwen Ni
Min Yang
Xiaojun Chen
Ruifeng Xu
AAMLRALM
137
40
0
31 May 2024
Responsible AI for Earth Observation
Responsible AI for Earth Observation
Pedram Ghamisi
Weikang Yu
Andrea Marinoni
C. Gevaert
Claudio Persello
...
Benjamin P. Horton
Philippe Rufin
P. Hostert
Fabio Pacifici
Peter M. Atkinson
79
5
0
31 May 2024
Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization
  for Prompt Enhancement
Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement
Pengwei Zhan
Zhen Xu
Qian Tan
Jie Song
Ru Xie
81
7
0
31 May 2024
Robust Stable Spiking Neural Networks
Robust Stable Spiking Neural Networks
Jianhao Ding
Zhiyu Pan
Yujia Liu
Zhaofei Yu
Tiejun Huang
AAML
102
7
0
31 May 2024
Investigating and unmasking feature-level vulnerabilities of CNNs to
  adversarial perturbations
Investigating and unmasking feature-level vulnerabilities of CNNs to adversarial perturbations
Davide Coppola
Hwee Kuan Lee
AAML
87
1
0
31 May 2024
Certifying Global Robustness for Deep Neural Networks
Certifying Global Robustness for Deep Neural Networks
You Li
Guannan Zhao
Shuyu Kong
Yunqi He
Hai Zhou
AAML
62
0
0
31 May 2024
Mitigating the Impact of Labeling Errors on Training via Rockafellian
  Relaxation
Mitigating the Impact of Labeling Errors on Training via Rockafellian Relaxation
Louis L. Chen
Bobbie Chern
Eric Eckstrand
Amogh Mahapatra
J. Royset
33
0
0
30 May 2024
Deep Learning Approaches for Detecting Adversarial Cyberbullying and
  Hate Speech in Social Networks
Deep Learning Approaches for Detecting Adversarial Cyberbullying and Hate Speech in Social Networks
S. Azumah
Nelly Elsayed
Zag ElSayed
Murat Ozer
Amanda La Guardia
95
3
0
30 May 2024
Is Synthetic Data all We Need? Benchmarking the Robustness of Models
  Trained with Synthetic Images
Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images
Krishnakant Singh
Thanush Navaratnam
Jannik Holmer
Simone Schaub-Meyer
Stefan Roth
DiffM
102
21
0
30 May 2024
HOLMES: to Detect Adversarial Examples with Multiple Detectors
HOLMES: to Detect Adversarial Examples with Multiple Detectors
Jing Wen
AAML
82
0
0
30 May 2024
Enhancing Adversarial Robustness in SNNs with Sparse Gradients
Enhancing Adversarial Robustness in SNNs with Sparse Gradients
Yujia Liu
Tong Bu
Jianhao Ding
Zecheng Hao
Tiejun Huang
Zhaofei Yu
AAML
99
5
0
30 May 2024
Evaluating the Effectiveness and Robustness of Visual Similarity-based Phishing Detection Models
Evaluating the Effectiveness and Robustness of Visual Similarity-based Phishing Detection Models
Fujiao Ji
Kiho Lee
Hyungjoon Koo
Wenhao You
Euijin Choo
Hyoungshick Kim
Doowon Kim
AAML
99
2
0
30 May 2024
Transfer Attack for Bad and Good: Explain and Boost Adversarial Transferability across Multimodal Large Language Models
Transfer Attack for Bad and Good: Explain and Boost Adversarial Transferability across Multimodal Large Language Models
Hao-Ran Cheng
Erjia Xiao
Jiayan Yang
Jinhao Duan
Yichi Wang
...
Qiang Zhang
Le Yang
Kaidi Xu
Jindong Gu
Renjing Xu
AAML
144
10
0
30 May 2024
AI Risk Management Should Incorporate Both Safety and Security
AI Risk Management Should Incorporate Both Safety and Security
Xiangyu Qi
Yangsibo Huang
Yi Zeng
Edoardo Debenedetti
Jonas Geiping
...
Chaowei Xiao
Yue Liu
Dawn Song
Peter Henderson
Prateek Mittal
AAML
120
12
0
29 May 2024
Diffusion Policy Attacker: Crafting Adversarial Attacks for
  Diffusion-based Policies
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies
Yipu Chen
Haotian Xue
Yongxin Chen
AAML
85
5
0
29 May 2024
Previous
123...202122...167168169
Next