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- Adversarial Transferability and Beyond: Featured content with 452 views.
- Closer Look at the Transferability of Adversarial Examples: : Featured content with 72 views.
- Devling into Adversarial Transferability on Image Classifica: Featured content with 20 views.
- Boosting the Transferability of Adversarial Samples via Atte: Featured content with 68 views.
- Transferability of Adversarial Examples to Attack Cloud Imag: Featured content with 1,379 views.
Deep Neural Networks have achieved great success in various vision tasks in recent years. However, they remain vulnerable to ......
Authors: Waseda, Futa Kai*; Nishikawa, Sosuke; Le, Trung-Nghia; Nguyen, Huy Hong; Echizen, Isao Description: Deep neural ......
Authors: Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai Description: The widespread ......
In recent years, Deep Learning(DL) techniques have been extensively deployed for computer vision tasks, particularly visual ......
Authors: Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash Description: ...
Find out how to fool a neural network. 00:00 Introduction 02:29 Classification Loss 08:19 ...
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Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differen
Authors: Waseda, Futa Kai*; Nishikawa, Sosuke; Le, Trung-Nghia; Nguyen, Huy Hong; Echizen, Isao Description: Deep neural ...
Devling into Adversarial Transferability on Image Classification: Review, Benchmark, and Evaluation
This document explores
Boosting the Transferability of Adversarial Samples via Attention
Authors: Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai Description: The widespread ...
Transferability of Adversarial Examples to Attack Cloud Image Classifier - Liu Yan - DEF CON China 1
In recent years, Deep Learning(DL) techniques have been extensively deployed for computer vision tasks, particularly visual ...
Adversarial Attacks on Neural Networks: AI's Hidden Flaw
Adversarial
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability
An Adaptive Model Ensemble
Efficient Adversarial Training With Transferable Adversarial Examples
Authors: Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash Description:
USENIX Security '24 - Transferability of White-box Perturbations: Query-Efficient Adversarial...
Transferability
Adversarial Attacks
Find out how to fool a neural network. 00:00 Introduction 02:29 Classification Loss 08:19
[ICCV 2025] Boosting Adversarial Transferability via Residual Perturbation Attack
[ICCV 2025] Boosting Adversarial Transferability via Residual Perturbation Attack
[EMBC 2020] Disentangled Adversarial Transfer Learning for Physiological Biosignals
Mo Han, a former intern at MERL, presenting her paper entitled "Disentangled
Lecture 16 | Adversarial Examples and Adversarial Training
In Lecture 16, guest lecturer Ian Goodfellow discusses
CVPR 2023 - StyLess: Boosting the Transferability of Adversarial Examples
Hey there! This is our presentation for our paper at CVPR 2023 called: "StyLess: Boosting the
Improving the Transferability of Adversarial Samples by Path-Augmented Method
CVPR 2023.
USENIX Security '19 - Why Do Adversarial Attacks Transfer? Explaining Transferability of
Why Do
Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction
Authors: Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar Description: Neural ...
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification...
Authors: Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, Liang Lin Description: The success of DNNs has driven the ...
Universal and Transferable Adversarial Attacks on Aligned Language Models Explained
Paper found here: https://arxiv.org/abs/2307.15043 Demo here: https://llm-attacks.org/
Revamp: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes
Deep Learning models, such as those used in an autonomous vehicle are vulnerable to