White Box Adversarial Attack

White-box adversarial attacks aim to evaluate and exploit the vulnerabilities of machine learning models by crafting malicious inputs designed to cause misclassification, leveraging full knowledge of the model's architecture and parameters. Current research focuses on developing and analyzing these attacks across various model types, including convolutional neural networks, transformers, and hypergraph neural networks, using algorithms like Projected Gradient Descent and its variants. Understanding the susceptibility of these models to such attacks is crucial for improving their robustness and ensuring the reliable deployment of machine learning in safety-critical applications like autonomous vehicles and healthcare.

Papers

October 2, 2024

Impact of White-Box Adversarial Attacks on Convolutional Neural Networks
Rakesh Podder, Sudipto Ghosh
Convolutional Neural Network Global Impact Adversarial Threat White Box Adversarial Attack CNN Performance White Box Adversarial

August 25, 2024

On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective
Tal Alter, Raz Lapid, Moshe Sipper
Native Robustness Adversarial Example Adversarial Robustness Kolmogorov Arnold Network Adversarial Scenario Adversarial Perspective White Box Adversarial Attack

July 4, 2024

TrackPGD: A White-box Attack using Binary Masks against Robust Transformer Trackers
Fatemeh Nourilenjan Nokabadi, Yann Batiste Pequignot, Jean-Francois Lalonde, Christian Gagné
Adversarial Robustness White Box Binary Mask Transformer Tracker White Box Adversarial Attack

June 10, 2024

Fast White-Box Adversarial Streaming Without a Random Oracle
Ying Feng, Aayush Jain, David P. Woodruff
Streaming Algorithm White Box Adversarial Attack Streaming Model Linear Optimization Oracle Adaptive Streaming

April 21, 2024

Attack on Scene Flow using Point Clouds
Haniyeh Ehsani Oskouie, Mohammad-Shahram Moin, Shohreh Kasaei
Point Cloud Optical Flow Scene Flow White Box Adversarial Attack Scene Flow Network

April 15, 2024

Black-box Adversarial Transferability: An Empirical Study in Cybersecurity Perspective
Khushnaseeb Roshan, Aasim Zafar
Adversarial Attack Empirical Study Cybersecurity Perspective Adversarial Transferability White Box Adversarial Attack

January 25, 2024

Sparse and Transferable Universal Singular Vectors Attack
Kseniia Kuvshinova, Olga Tsymboi, Ivan Oseledets
Adversarial Attack Many Sparse Sparsity Increase Hidden Layer White Box Adversarial Attack

January 17, 2024

Towards Scalable and Robust Model Versioning
Wenxin Ding, Arjun Nitin Bhagoji, Ben Y. Zhao, Haitao Zheng
Adversarial Attack Deep Learning Model Transferable Attack White Box Adversarial Attack Model Versioning

December 8, 2023

SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation
Bangyan He, Xiaojun Jia, Siyuan Liang, Tianrui Lou, Yang Liu, Xiaochun Cao
Adversarial Example Full Model Adversarial Text Adversarial Image Self Augmentation White Box Adversarial Attack

October 26, 2023

PubDef: Defending Against Transfer Attacks From Public Models
Chawin Sitawarin, Jaewon Chang, David Huang, Wesson Altoyan, David Wagner
Adversarial Attack White Box Transfer Attack White Box Adversarial Attack Public Model

August 17, 2023

A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models
Zhongliang Guo, Weiye Li, Yifei Qian, Ognjen Arandjelović, Lei Fang
White Box White Box Adversarial Attack Offline Handwritten Signature Verification

February 24, 2023

HyperAttack: Multi-Gradient-Guided White-box Adversarial Structure Attack of Hypergraph Neural Networks
Chao Hu, Ruishi Yu, Binqi Zeng, Yu Zhan, Ying Fu, Quan Zhang, Rongkai Liu, Heyuan Shi
Adversarial Attack Hypergraph Neural Network White Box Adversarial Attack Efficient Adversarial Attack White Box Adversarial

February 11, 2023

Mutation-Based Adversarial Attacks on Neural Text Detectors
Gongbo Liang, Jesus Guerrero, Izzat Alsmadi
Adversarial Attack Adversarial Sample Text Detection Text Detector White Box Adversarial Attack

February 4, 2023

CosPGD: a unified white-box adversarial attack for pixel-wise prediction tasks
Shashank Agnihotri, Steffen Jung, Margret Keuper
Adversarial Attack Semantic Adversarial White Box Adversarial Attack Pixel Wise Prediction Per Pixel Prediction

November 8, 2022

NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?
Saadia Gabriel, Hamid Palangi, Yejin Choi
Adversarial Example Multi Step Adversarial Attack White Box Adversarial Attack Previously Generated Alternative Neural Text Classification Multiple Adversary

October 31, 2022

Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution
Aiwei Liu, Honghai Yu, Xuming Hu, Shu'ang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen
Adversarial Example Transformer Megatron Decepticons Adversarial Loss White Box Adversarial Attack Tokenization Matter

October 25, 2022

A White-Box Adversarial Attack Against a Digital Twin
Wilson Patterson, Ivan Fernandez, Subash Neupane, Milan Parmar, Sudip Mittal, Shahram Rahimi
Adversarial Attack Adversarial Perturbation Digital Twin White Box White Box Adversarial Attack

May 4, 2022

CE-based white-box adversarial attacks will not work using super-fitting
Youhuan Yang, Lei Sun, Leyu Dai, Song Guo, Xiuqing Mao, Xiaoqin Wang, Bayi Xu
Adversarial Attack Adversarial Robustness White Box Adversarial Attack Self Fitting Method

April 8, 2022

Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser
Sonal Joshi, Saurabh Kataria, Yiwen Shao, Piotr Zelasko, Jesus Villalba, Sanjeev Khudanpur, Najim Dehak
Adversarial Attack Hybrid Automatic Speech Recognition Image Denoiser Adversarial Fine Tuning White Box Adversarial Attack

March 14, 2022

Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training
Jiahao Shao, Shijia Geng, Zhaoji Fu, Weilun Xu, Tong Liu, Shenda Hong
Adversarial Attack ECG Classification Traditional Adversarial White Box Adversarial Attack Adversarial Distillation