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1412.5068
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Towards Deep Neural Network Architectures Robust to Adversarial Examples
International Conference on Learning Representations (ICLR), 2014
11 December 2014
S. Gu
Luca Rigazio
AAML
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Papers citing
"Towards Deep Neural Network Architectures Robust to Adversarial Examples"
50 / 417 papers shown
Studying Various Activation Functions and Non-IID Data for Machine Learning Model Robustness
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155
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Enhancing Adversarial Robustness of IoT Intrusion Detection via SHAP-Based Attribution Fingerprinting
Dilli Prasad Sharma
Liang Xue
Xiaowei Sun
Xiaodong Lin
Pulei Xiong
113
0
0
09 Nov 2025
Zero-Shot Robustness of Vision Language Models Via Confidence-Aware Weighting
Nikoo Naghavian
Mostafa Tavassolipour
AAML
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139
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0
03 Oct 2025
IGAff: Benchmarking Adversarial Iterative and Genetic Affine Algorithms on Deep Neural Networks
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Andrei Preda
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Florin-Catalin Pop
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121
0
0
08 Sep 2025
GrokAlign: Geometric Characterisation and Acceleration of Grokking
Thomas Walker
Ahmed Imtiaz Humayun
Randall Balestriero
Richard G. Baraniuk
205
2
0
14 Jun 2025
On the Natural Robustness of Vision-Language Models Against Visual Perception Attacks in Autonomous Driving
Pedram MohajerAnsari
Amir Salarpour
Michael Kuhr
Siyu Huang
Mohammad Hamad
Sebastian Steinhorst
Habeeb Olufowobi
Mert D. Pesé
AAML
183
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0
13 Jun 2025
How Do Diffusion Models Improve Adversarial Robustness?
Liu Yuezhang
Xue-Xin Wei
479
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0
28 May 2025
NatADiff: Adversarial Boundary Guidance for Natural Adversarial Diffusion
Max Collins
Jordan Vice
T. French
Lin Wang
DiffM
240
1
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27 May 2025
Edge-Based Learning for Improved Classification Under Adversarial Noise
Manish Kansana
Keyan Alexander Rahimi
Elias Hossain
Iman Dehzangi
Noorbakhsh Amiri Golilarz
AAML
194
0
0
25 Apr 2025
reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs
Zhaofeng Wu
Michihiro Yasunaga
Andrew Cohen
Yoon Kim
Asli Celikyilmaz
Marjan Ghazvininejad
299
10
0
14 Mar 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness
Emanuele Ballarin
A. Ansuini
Luca Bortolussi
AAML
759
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20 Feb 2025
On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms
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Jessie Yaros
Jasen Babcock
Coung Ly
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Timothy Doster
Cynthia Matuszek
NAI
292
2
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13 Feb 2025
CausAdv: A Causal-based Framework for Detecting Adversarial Examples
Hichem Debbi
CML
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283
1
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29 Oct 2024
Classification-Denoising Networks
Louis Thiry
Florentin Guth
303
1
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04 Oct 2024
MASKDROID: Robust Android Malware Detection with Masked Graph Representations
International Conference on Automated Software Engineering (ASE), 2024
Jingnan Zheng
Jiaohao Liu
An Zhang
Jun Zeng
Ziqi Yang
Zhenkai Liang
Tat-Seng Chua
AAML
161
8
0
29 Sep 2024
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2024
Hanrui Wang
Ruoxi Sun
Cunjian Chen
Minhui Xue
Lay-Ki Soon
Shuo Wang
Zhe Jin
DiffM
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203
3
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20 Aug 2024
Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking
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Chuangliang Zhang
Yongjie Hou
Lifei Chen
Min Jiang
AAML
173
22
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18 Jul 2024
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Yue Zhao
Kai Chen
Jinwen He
AAML
210
7
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12 Jun 2024
HOLMES: to Detect Adversarial Examples with Multiple Detectors
Jing Wen
AAML
252
1
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30 May 2024
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Wanqi Zhou
Shuanghao Bai
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VLM
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305
21
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30 Apr 2024
Policy Gradient-Driven Noise Mask
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484
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29 Apr 2024
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Eric Xue
Yijiang Li
Haoyang Liu
Yifan Shen
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DD
558
18
0
15 Mar 2024
Deep-Learned Compression for Radio-Frequency Signal Classification
Armani Rodriguez
Yagna Kaasaragadda
S. Kokalj-Filipovic
151
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0
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Immunization against harmful fine-tuning attacks
Domenic Rosati
Jan Wehner
Kai Williams
Lukasz Bartoszcze
Jan Batzner
Hassan Sajjad
Frank Rudzicz
AAML
263
31
0
26 Feb 2024
Understanding Deep Learning defenses Against Adversarial Examples Through Visualizations for Dynamic Risk Assessment
Xabier Echeberria-Barrio
Amaia Gil-Lerchundi
Jon Egana-Zubia
Raul Orduna Urrutia
AAML
178
8
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12 Feb 2024
Whispers in the Machine: Confidentiality in Agentic Systems
Jonathan Evertz
Merlin Chlosta
Lea Schonherr
Thorsten Eisenhofer
344
1
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10 Feb 2024
Partially Recentralization Softmax Loss for Vision-Language Models Robustness
Hao Wang
Xin Zhang
Jinzhe Jiang
Yaqian Zhao
Chen Li
AAML
143
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06 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Wenqi Wei
Ling Liu
361
44
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02 Feb 2024
Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss
International Conference on Machine Learning (ICML), 2024
Yahong Yang
Juncai He
AI4CE
486
13
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31 Jan 2024
Can overfitted deep neural networks in adversarial training generalize? -- An approximation viewpoint
Zhongjie Shi
Fanghui Liu
Yuan Cao
Johan A. K. Suykens
236
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24 Jan 2024
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
Tianyu Cui
Yanling Wang
Chuanpu Fu
Yong Xiao
Sijia Li
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Junwu Xiong
Xinyu Kong
ZuJie Wen
Ke Xu
Qi Li
319
99
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11 Jan 2024
Adversarial Attacks on Image Classification Models: Analysis and Defense
Jaydip Sen
Abhiraj Sen
Ananda Chatterjee
AAML
161
6
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Anupriya Kumari
Devansh Bhardwaj
Sukrit Jindal
Sarthak Gupta
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274
4
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19 Dec 2023
Adversarial Purification of Information Masking
Sitong Liu
Z. Lian
Shuangquan Zhang
Liang Xiao
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201
1
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26 Nov 2023
Quantifying Assistive Robustness Via the Natural-Adversarial Frontier
Conference on Robot Learning (CoRL), 2023
Jerry Zhi-Yang He
Zackory M. Erickson
Daniel S. Brown
Anca Dragan
AAML
232
1
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16 Oct 2023
Baseline Defenses for Adversarial Attacks Against Aligned Language Models
Neel Jain
Avi Schwarzschild
Yuxin Wen
Gowthami Somepalli
John Kirchenbauer
Ping Yeh-Chiang
Micah Goldblum
Aniruddha Saha
Jonas Geiping
Tom Goldstein
AAML
544
579
0
01 Sep 2023
Adaptive Attack Detection in Text Classification: Leveraging Space Exploration Features for Text Sentiment Classification
Atefeh Mahdavi
Neda Keivandarian
Marco Carvalho
AAML
93
1
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Leveraging Contextual Counterfactuals Toward Belief Calibration
Qiuyi Zhang
Zhang
Michael S. Lee
Sherol Chen
140
1
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13 Jul 2023
Data Augmentation in Training CNNs: Injecting Noise to Images
M. E. Akbiyik
113
33
0
12 Jul 2023
Adversarial Attacks on Image Classification Models: FGSM and Patch Attacks and their Impact
Jaydip Sen
S. Dasgupta
AAML
SILM
110
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05 Jul 2023
A Melting Pot of Evolution and Learning
Genetic Programming Theory and Practice (GPTP), 2023
Moshe Sipper
Achiya Elyasaf
Tomer Halperin
Zvika Haramaty
Raz Lapid
Eyal Segal
Itai Tzruia
Snir Vitrack Tamam
BDL
127
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Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Xingxing Wei
Shiji Zhao
Bo li
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386
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Adversarial attacks and defenses in explainable artificial intelligence: A survey
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515
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Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review
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Jinyue Li
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204
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PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation
ACM Multimedia (ACM MM), 2023
Xianghao Jiao
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Jiaxin Gao
Xinyuan Chu
Risheng Liu
Xin-Yue Fan
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189
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Adversarial Defenses via Vector Quantization
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Yongyi Mao
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165
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How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
IEEE Access (IEEE Access), 2023
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
371
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Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives
Neural Information Processing Systems (NeurIPS), 2023
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Haizhao Yang
Yang Xiang
188
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Maniratnam Mandal
Suna Gao
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88
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Ambar Pal
Jeremias Sulam
AAML
361
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