Xingjun Ma

Michael E. Houle

Inf. Syst., September, 2023

Query-Efficient Black-Box Adversarial Attacks on Automatic Speech Recognition.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs.

[BibT_eX]

[DOI]

CoRR, 2023

IMAP: Intrinsically Motivated Adversarial Policy.

[BibT_eX]

[DOI]

CoRR, 2023

Backdoor Attacks on Time Series: A Generative Approach.

[BibT_eX]

[DOI]

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

On the Importance of Spatial Relations for Few-shot Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

DEEPJUDGE: A Testing Framework for Copyright Protection of Deep Learning Models.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

Reconstructive Neuron Pruning for Backdoor Defense.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Transferable Unlearnable Examples.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Distilling Cognitive Backdoor Patterns within an Image.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2022

Local Intrinsic Dimensionality, Entropy and Statistical Divergences.

[BibT_eX]

[DOI]

Michael E. Houle

Entropy, 2022

Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

CalFAT: Calibrated Federated Adversarial Training with Label Skewness.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Backdoor Attacks on Crowd Counting.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

ECG-ATK-GAN: Robustness Against Adversarial Attacks on ECGs Using Conditional Generative Adversarial Networks.

[BibT_eX]

[DOI]

Khondker Fariha Hossain

Sharif Amit Kamran

Alireza Tavakkoli

Proceedings of the Applications of Medical Artificial Intelligence, 2022

Few-Shot Backdoor Attacks on Visual Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Understanding adversarial attacks on deep learning based medical image analysis systems.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

ECG-ATK-GAN: Robustness against Adversarial Attacks on ECG using Conditional Generative Adversarial Networks.

[BibT_eX]

[DOI]

Khondker Fariha Hossain

Sharif Amit Kamran

Alireza Tavakkoli

CoRR, 2021

A Lazy Approach for Efficient Index Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Multi-class Classification Based Anomaly Detection of Insider Activities.

[BibT_eX]

[DOI]

CoRR, 2021

What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space.

[BibT_eX]

[DOI]

CoRR, 2021

Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions.

[BibT_eX]

[DOI]

CoRR, 2021

Anomaly Detection for Scenario-based Insider Activities using CGAN Augmented Data.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Trust, 2021

Sub-trajectory Similarity Join with Obfuscation.

[BibT_eX]

[DOI]

Proceedings of the SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, 2021

Relationships Between Local Intrinsic Dimensionality and Tail Entropy.

[BibT_eX]

[DOI]

Michael E. Houle

Proceedings of the Similarity Search and Applications - 14th International Conference, 2021

Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning.

[BibT_eX]

[DOI]

Bryan Kian Hsiang Low

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Anti-Backdoor Learning: Training Clean Models on Poisoned Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Federated Learning with Extreme Label Skew: A Data Extension Approach.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Microwave Link Failures Prediction via LSTM-based Feature Fusion Network.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Dual Head Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Neural Architecture Search via Combinatorial Multi-Armed Bandit.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

RobOT: Robustness-Oriented Testing for Deep Learning Systems.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks.

[BibT_eX]

[DOI]

Khondker Fariha Hossain

Sutharshan Rajasegarar

Chandan Karmaker

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Unlearnable Examples: Making Personal Data Unexploitable.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Improving Adversarial Robustness via Channel-wise Activation Suppressing.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Towards Fair and Privacy-Preserving Federated Deep Models.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2020

Exploiting patterns to explain individual predictions.

[BibT_eX]

[DOI]

Yunzhe Jia

Kotagiri Ramamohanarao

Christopher Leckie

Knowl. Inf. Syst., 2020

Privacy and Robustness in Federated Learning: Attacks and Defenses.

[BibT_eX]

[DOI]

CoRR, 2020

Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness.

[BibT_eX]

[DOI]

CoRR, 2020

WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Normalized Loss Functions for Deep Learning with Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Improving Adversarial Robustness Requires Revisiting Misclassified Examples.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Short-Term and Long-Term Context Aggregation Network for Video Inpainting.

[BibT_eX]

[DOI]

Ramamohanarao Kotagiri

Proceedings of the Computer Vision - ECCV 2020, 2020

Clean-Label Backdoor Attacks on Video Recognition Models.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Transfer of Automated Performance Feedback Models to Different Specimens in Virtual Reality Temporal Bone Surgery.

[BibT_eX]

[DOI]

Jesslyn Lamtara

Nathan Hanegbi

Benjamin Talks

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain.

[BibT_eX]

[DOI]

CoRR, 2019

Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality.

[BibT_eX]

[DOI]

CoRR, 2019

Black-box Adversarial Attacks on Video Recognition Models.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Generative Image Inpainting with Submanifold Alignment.

[BibT_eX]

[DOI]

Kotagiri Ramamohanarao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

On the Convergence and Robustness of Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Symmetric Cross Entropy for Robust Learning With Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Machine learning with adversarial perturbations and noisy labels.

[BibT_eX]

[DOI]

PhD thesis, 2018

Dimensionality-Driven Learning with Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Iterative Learning With Open-Set Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Development and Validation of a Virtual Reality Tutor to Teach Clinically Oriented Surgical Anatomy of the Ear.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Providing Automated Real-Time Technical Feedback for Virtual Reality Based Surgical Training: Is the Simpler the Better?

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017

Feedback Techniques in Computer-Based Simulation Training: A Survey.

[BibT_eX]

[DOI]

CoRR, 2017

Finding Influentials in Twitter: A Temporal Influence Ranking Model.

[BibT_eX]

[DOI]

Chunping Li

CoRR, 2017

Extracting Real-time Feedback with Neural Networks for Simulation-based Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Providing Effective Real-Time Feedback in Simulation-Based Surgical Training.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Design and Evaluation of a Virtual Reality Simulation Module for Training Advanced Temporal Bone Surgery.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Simulation for Training Cochlear Implant Electrode Insertion.

[BibT_eX]

[DOI]