Multi Target Adversarial Frameworks For

Media Summary: Rising Star Symposium on Cyber-Physical Systems Security, Resilience, and Privacy ... Published in IROS 2025 Hangzhou. Best paper finalist. Available at: www.arxiv.org/pdf/2409.11230 Abstract: Authors: Kumar, Vikash*; Lal, Rohit; Patil, Himanshu; Chakraborty, Anirban Description: This work introduces the novel task of ...

Multi Target Adversarial Frameworks For - Detailed Analysis & Overview

Rising Star Symposium on Cyber-Physical Systems Security, Resilience, and Privacy ... Published in IROS 2025 Hangzhou. Best paper finalist. Available at: www.arxiv.org/pdf/2409.11230 Abstract: Authors: Kumar, Vikash*; Lal, Rohit; Patil, Himanshu; Chakraborty, Anirban Description: This work introduces the novel task of ... Authors: Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Huaiyu Dai Description: Accepted to IEEE International Conference on Intelligent Transportation Systems (ITSC), 2021 Presenter: Bibek Poudel STARS ... Authors: Lin Zhang; Linghan Xu; Saman Motamed; Shayok Chakraborty; Fernando De la Torre Description: Unsupervised domain ...

Adnan Rakin (Arizona State University, former MERL intern) presents our paper "Towards Universal Authors: Xuesong Chen, Xiyu Yan, Feng Zheng, Yong Jiang, Shu-Tao Xia, Yong Zhao, Rongrong Ji Description: Almost all ... Authors: Runwu Zhou, Yi-Dong Shen Description: Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection ICCV 2021. In order to ... This short course provides an overview of

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Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation (ICCV 2021)

A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space (IJCAI 2022)

Adversarial Strategies Against Multi-Agent AI Defenses in Cyber-Physical Networks

IROS2025: Resilient Multi-Robot Target Tracking with Sensing and Communication Danger Zones

CoNMix for Source-free Single and Multi-target Domain Adaptation

GeoDA: A Geometric Framework for Black-Box Adversarial Attacks

Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models, ITSC 2021

D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment

[ITW 2021] Towards Universal Adversarial Examples and Defenses

One-Shot Adversarial Attacks on Visual Tracking With Dual Attention

End-to-End Adversarial-Attention Network for Multi-Modal Clustering

Similarity-based Domain Alignment for Adaptive Object Detection (ICCV 2021)

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Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation (ICCV 2021)

Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation (ICCV 2021)

Multi

A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space (IJCAI 2022)

A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space (IJCAI 2022)

"A Unified

Adversarial Strategies Against Multi-Agent AI Defenses in Cyber-Physical Networks

Adversarial Strategies Against Multi-Agent AI Defenses in Cyber-Physical Networks

Rising Star Symposium on Cyber-Physical Systems Security, Resilience, and Privacy ...

IROS2025: Resilient Multi-Robot Target Tracking with Sensing and Communication Danger Zones

IROS2025: Resilient Multi-Robot Target Tracking with Sensing and Communication Danger Zones

Published in IROS 2025 Hangzhou. Best paper finalist. Available at: www.arxiv.org/pdf/2409.11230 Abstract:

CoNMix for Source-free Single and Multi-target Domain Adaptation

CoNMix for Source-free Single and Multi-target Domain Adaptation

Authors: Kumar, Vikash*; Lal, Rohit; Patil, Himanshu; Chakraborty, Anirban Description: This work introduces the novel task of ...

GeoDA: A Geometric Framework for Black-Box Adversarial Attacks

GeoDA: A Geometric Framework for Black-Box Adversarial Attacks

Authors: Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Huaiyu Dai Description:

Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models, ITSC 2021

Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models, ITSC 2021

Accepted to IEEE International Conference on Intelligent Transportation Systems (ITSC), 2021 Presenter: Bibek Poudel STARS ...

D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment

D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment

Authors: Lin Zhang; Linghan Xu; Saman Motamed; Shayok Chakraborty; Fernando De la Torre Description: Unsupervised domain ...

[ITW 2021] Towards Universal Adversarial Examples and Defenses

[ITW 2021] Towards Universal Adversarial Examples and Defenses

Adnan Rakin (Arizona State University, former MERL intern) presents our paper "Towards Universal

One-Shot Adversarial Attacks on Visual Tracking With Dual Attention

One-Shot Adversarial Attacks on Visual Tracking With Dual Attention

Authors: Xuesong Chen, Xiyu Yan, Feng Zheng, Yong Jiang, Shu-Tao Xia, Yong Zhao, Rongrong Ji Description: Almost all ...

End-to-End Adversarial-Attention Network for Multi-Modal Clustering

End-to-End Adversarial-Attention Network for Multi-Modal Clustering

Authors: Runwu Zhou, Yi-Dong Shen Description:

Similarity-based Domain Alignment for Adaptive Object Detection (ICCV 2021)

Similarity-based Domain Alignment for Adaptive Object Detection (ICCV 2021)

Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection ICCV 2021. In order to ...

Overview of Adversarial Machine Learning

Overview of Adversarial Machine Learning

This short course provides an overview of