Adversarial Perturbation AI Research Papers - Page 24

March 16, 2022

On the Convergence of Certified Robust Training with Interval Bound Propagation
Yihan Wang, Zhouxing Shi, Quanquan Gu, Cho-Jui Hsieh
Early Stage Convergence Robust Training Interval Bound Propagation Adversarial Perturbation Gradient Descent
What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study
Binxiao Huang, Chaofan Tao, Rui Lin, Ngai Wong
Native Robustness Adversarial Data Adversarial Learning Cross Domain Robust Neural Network Adversarial Perturbation Fourier Transform
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Celine Lin
Adversarial Perturbation Attack Patch Vision Transformer Adversarial Attack

March 15, 2022

Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness
Tejas Gokhale, Swaroop Mishra, Man Luo, Bhavdeep Singh Sachdeva, Chitta Baral
Adversarial Robustness Strong Generalization Mixed Effect Data Augmentation Adversarial Perturbation

March 14, 2022

Adversarial amplitude swap towards robust image classifiers
Chun Yang Tan, Kazuhiko Kawamoto, Hiroshi Kera
Native Robustness Robust Overfitting Adversarial Image Image Classification General Robustness Adversarial Perturbation Adversarial Covariate Shift

March 12, 2022

A Survey of Adversarial Defences and Robustness in NLP
Shreya Goyal, Sumanth Doddapaneni, Mitesh M. Khapra, Balaraman Ravindran
Adversarial DEfense Timely Survey Native Robustness Adversarial Attack Natural Language Processing Adversarial Perturbation

March 11, 2022

March 9, 2022

March 8, 2022

March 7, 2022

ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli
Adversarial Patch ImageNet Dataset Machine Learning Robustness Data Set Adversarial Perturbation

March 2, 2022

Detecting Adversarial Perturbations in Multi-Task Perception
Marvin Klingner, Varun Ravi Kumar, Senthil Yogamani, Andreas Bär, Tim Fingscheidt
Adversarial Perturbation Consistency Loss Vision Task Adversarial Attack

February 28, 2022

Towards Robust Stacked Capsule Autoencoder with Hybrid Adversarial Training
Jiazhu Dai, Siwei Xiong
Capsule Network CapsNet Model Adversarial Perturbation

February 26, 2022

Neuro-Inspired Deep Neural Networks with Sparse, Strong Activations
Metehan Cekic, Can Bakiskan, Upamanyu Madhow
Adversarial Training Brain Inspired Standard Gradient Descent Many Sparse Adversarial Perturbation Deep Neural Network

February 23, 2022

LPF-Defense: 3D Adversarial Defense based on Frequency Analysis
Hanieh Naderi, Kimia Noorbakhsh, Arian Etemadi, Shohreh Kasaei
Frequency Analysis Adversarial Perturbation Adversarial Example Point Cloud Classification 3D Adversarial Adversarial Attack

February 20, 2022

Real-time Over-the-air Adversarial Perturbations for Digital Communications using Deep Neural Networks
Roman A. Sandler, Peter K. Relich, Cloud Cho, Sean Holloway
Deep Neural Network Adversarial Perturbation Jamming Detection Digital Communication Wireless Signal Modulation Scheme

February 10, 2022

Controlling the Complexity and Lipschitz Constant improves polynomial nets
Zhenyu Zhu, Fabian Latorre, Grigorios G Chrysos, Volkan Cevher
Lipschitz Bound CP Decomposition Adversarial Perturbation Robustness Guarantee Polynomial Network Complexity Matter

February 7, 2022

Attacking c-MARL More Effectively: A Data Driven Approach
Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng
Data Driven Approach Agent Selection Adversarial Perturbation Adversarial Attack Model Attack MARL Algorithm

Adversarial Perturbation

Papers - Page 24

On the Convergence of Certified Robust Training with Interval Bound Propagation

What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study

Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?

Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness

Adversarial amplitude swap towards robust image classifiers

A Survey of Adversarial Defences and Robustness in NLP

Enhancing Adversarial Training with Second-Order Statistics of Weights

Block-Sparse Adversarial Attack to Fool Transformer-Based Text Classifiers

Binary Classification Under \ell_0 Attacks for General Noise Distribution

Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation

Shape-invariant 3D Adversarial Point Clouds

Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation

ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches

Detecting Adversarial Perturbations in Multi-Task Perception

Towards Robust Stacked Capsule Autoencoder with Hybrid Adversarial Training

Neuro-Inspired Deep Neural Networks with Sparse, Strong Activations

LPF-Defense: 3D Adversarial Defense based on Frequency Analysis

Real-time Over-the-air Adversarial Perturbations for Digital Communications using Deep Neural Networks

Controlling the Complexity and Lipschitz Constant improves polynomial nets

Attacking c-MARL More Effectively: A Data Driven Approach