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Deep Multimodal Representation Learning: A Survey

IEEE access, 2019, Vol.7, p.63373-63394

2019

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Subpopulation Data Poisoning Attacks

Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security, 2021, p.3104-3122

2021

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Cross-modal Adversarial Reprogramming

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.2898-2906

2022

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Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.2826-2835

2022

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Physical Adversarial Attacks on an Aerial Imagery Object Detector

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.3798-3808

2022

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On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.3819-3828

2022

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Fuzzy Detection System for Rumors Through Explainable Adaptive Learning

IEEE transactions on fuzzy systems, 2021-12, Vol.29 (12), p.3650-3664

2021

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Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain

ACM computing surveys, 2021-06, Vol.54 (5), p.1-36

2021

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DeepGauge: multi-granularity testing criteria for deep learning systems

2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE), 2018, p.120-131

2018

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Unsupervised Robust Domain Adaptation without Source Data

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.2805-2814

2022

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A survey of machine learning techniques in adversarial image forensics

Computers & security, 2021-01, Vol.100, p.102092, Article 102092

2021

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Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning

IEEE transactions on pattern analysis and machine intelligence, 2022-12, Vol.44 (12), p.9887-9903

2022

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BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.2878-2887

2022

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Generative Adversarial Graph Convolutional Networks for Human Action Synthesis

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.2753-2762

2022

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Domain adaptation based on domain-invariant and class-distinguishable feature learning using multiple adversarial networks

Neurocomputing (Amsterdam), 2020-10, Vol.411, p.178-192

2020

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Masked GAN for Unsupervised Depth and Pose Prediction With Scale Consistency

IEEE transaction on neural networks and learning systems, 2021-12, Vol.32 (12), p.5392-5403

2021

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ASE: large-scale reusable adversarial skill embeddings for physically simulated characters

ACM transactions on graphics, 2022-07, Vol.41 (4), p.1-17, Article 94

2022

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Adversarial Attacks on Neural Networks for Graph Data

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018, p.2847-2856

2018

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Admix: Enhancing the Transferability of Adversarial Attacks

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, p.16138-16147

2021

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Reconstructing Training Data from Diverse ML Models by Ensemble Inversion

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.3870-3878

2022

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Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.3849-3858

2022

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Towards Class-Oriented Poisoning Attacks Against Neural Networks

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.2244-2253

2022

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Joint bi-adversarial learning for unsupervised domain adaptation

Knowledge-based systems, 2022-07, Vol.248, p.108903, Article 108903

2022

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Mitigating Unwanted Biases with Adversarial Learning

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018, p.335-340

2018

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DAD: Data-free Adversarial Defense at Test Time

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.3788-3797

2022

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Deep Multimodal Representation Learning: A Survey

Subpopulation Data Poisoning Attacks

Cross-modal Adversarial Reprogramming

Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks

Physical Adversarial Attacks on an Aerial Imagery Object Detector

On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks

Fuzzy Detection System for Rumors Through Explainable Adaptive Learning

Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain

DeepGauge: multi-granularity testing criteria for deep learning systems

Unsupervised Robust Domain Adaptation without Source Data

A survey of machine learning techniques in adversarial image forensics

Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning

BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection

Generative Adversarial Graph Convolutional Networks for Human Action Synthesis

Domain adaptation based on domain-invariant and class-distinguishable feature learning using multiple adversarial networks

Masked GAN for Unsupervised Depth and Pose Prediction With Scale Consistency

ASE: large-scale reusable adversarial skill embeddings for physically simulated characters

Adversarial Attacks on Neural Networks for Graph Data

Admix: Enhancing the Transferability of Adversarial Attacks

Reconstructing Training Data from Diverse ML Models by Ensemble Inversion

Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation

Towards Class-Oriented Poisoning Attacks Against Neural Networks

Joint bi-adversarial learning for unsupervised domain adaptation

Mitigating Unwanted Biases with Adversarial Learning

DAD: Data-free Adversarial Defense at Test Time

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