Adversarial Example

December 13, 2022

Adversarial Attacks and Defences for Skin Cancer Classification
Vinay Jogani, Joy Purohit, Ishaan Shivhare, Samina Attari, Shraddha Surtkar
Adversarial Attack Adversarial Example Medical Image Classification Dermoscopic Image Adversarial Defense Skin Cancer Classification
Object-fabrication Targeted Attack for Object Detection
Xuchong Zhang, Changfeng Sun, Haoliang Han, Hongbin Sun
Adversarial Attack Adversarial Example Image Attack Feature Space Hijacking Attack Object Generation Attack
Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety
Joshua Albrecht, Ellie Kitanidis, Abraham J. Fetterman
Large Language Model Adversarial Example System Performance Human SAFETY Decision Relevant Information Intercultural Ethic Human Like Explanation Ethic Dataset Ethical Reasoning

December 12, 2022

SRoUDA: Meta Self-training for Robust Unsupervised Domain Adaptation
Wanqing Zhu, Jia-Li Yin, Bo-Hao Chen, Ximeng Liu
Domain Adaptation Adversarial Example Adversarial Training Adversarial Robustness Unsupervised Domain Adaptation Self Training

December 11, 2022

DISCO: Adversarial Defense with Local Implicit Functions
Chih-Hui Ho, Nuno Vasconcelos
Adversarial Example Adversarial Perturbation Adversarial DEfense Adversarial Image Image Manifold Implicit Function

December 5, 2022

Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$-norms For Better Adversarial Performance
Ngoc N. Tran, Anh Tuan Bui, Dinh Phung, Trung Le
Adversarial Attack Adversarial Example \Ell_p$ Norm Perturbation Attack Better Adversarial Robustness ImageNet Attack

November 29, 2022

Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples
Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki
Adversarial Example Deep Metric Learning Batch Normalization Layer Batch Norm

November 28, 2022

Imperceptible Adversarial Attack via Invertible Neural Networks
Zihan Chen, Ziyue Wang, Junjie Huang, Wentao Zhao, Xiao Liu, Dejian Guan
Adversarial Attack Adversarial Example Invertible Neural Network Imperceptible Adversarial

November 26, 2022

November 25, 2022

Boundary Adversarial Examples Against Adversarial Overfitting
Muhammad Zaid Hameed, Beat Buesser
Adversarial Attack Adversarial Example Adversarial Training Adversarial Learning Standard Adversarial Training

November 23, 2022

Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners
Elre T. Oldewage, John Bronskill, Richard E. Turner
Adversarial Attack Adversarial Example Poisoning Attack Strong Baseline Data Poisoning Attack Adversarial Input Meta Learner Shot Meta Learning

November 22, 2022

PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples
Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun
Native Robustness Adversarial Example Point Cloud Completion Adversarial Point Cloud

November 21, 2022

Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization
Jiafeng Wang, Zhaoyu Chen, Kaixun Jiang, Dingkang Yang, Lingyi Hong, Pinxue Guo, Haijing Guo, Wenqiang Zhang
Adversarial Attack Adversarial Example Task Transferability Gradient Based Optimization Transfer Attack Gradient Vanishing

November 20, 2022

Spectral Adversarial Training for Robust Graph Neural Network
Jintang Li, Jiaying Peng, Liang Chen, Zibin Zheng, Tingting Liang, Qing Ling
Graph Neural Network Adversarial Attack Adversarial Example Adversarial Perturbation

November 18, 2022

Diagnostics for Deep Neural Networks with Automated Copy/Paste Attacks
Stephen Casper, Kaivalya Hariharan, Dylan Hadfield-Menell
Deep Neural Network Adversarial Example Disease Diagnostics Natural Adversarial Paste Attack

November 16, 2022

Efficiently Finding Adversarial Examples with DNN Preprocessing
Avriti Chauhan, Mohammad Afzal, Hrishikesh Karmarkar, Yizhak Elboher, Kumar Madhukar, Guy Katz
Neural Network Deep Neural Network Native Robustness Adversarial Example DNN Framework

November 14, 2022

Efficient Adversarial Training with Robust Early-Bird Tickets
Zhiheng Xi, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
Adversarial Example Pre Trained Language Model Adversarial Training Robust Ticket Efficient Adversarial Training

November 13, 2022

Adversarial and Random Transformations for Robust Domain Adaptation and Generalization
Liang Xiao, Jiaolong Xu, Dawei Zhao, Erke Shang, Qi Zhu, Bin Dai
Data Augmentation Strong Generalization Adversarial Example Adversarial Text Adversarial Augmentation Random Transformation Adversarial Data Augmentation Random Data Augmentation Robust Domain Adaptation

November 11, 2022

On the robustness of non-intrusive speech quality model by adversarial examples
Hsin-Yi Lin, Huan-Hsin Tseng, Yu Tsao
Native Robustness Adversarial Example Adversarial Training Adversarial Perturbation Auditory Perception Non Intrusive Speech Speech Quality Prediction

Papers

Adversarial Attacks and Defences for Skin Cancer Classification

Object-fabrication Targeted Attack for Object Detection

Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety

SRoUDA: Meta Self-training for Robust Unsupervised Domain Adaptation

DISCO: Adversarial Defense with Local Implicit Functions

Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$-norms For Better Adversarial Performance

Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples

Imperceptible Adversarial Attack via Invertible Neural Networks

Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning

Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network

Boundary Adversarial Examples Against Adversarial Overfitting

Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners

PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples

Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization

Spectral Adversarial Training for Robust Graph Neural Network

Diagnostics for Deep Neural Networks with Automated Copy/Paste Attacks

Efficiently Finding Adversarial Examples with DNN Preprocessing

Efficient Adversarial Training with Robust Early-Bird Tickets

Adversarial and Random Transformations for Robust Domain Adaptation and Generalization

On the robustness of non-intrusive speech quality model by adversarial examples