Talks

[Sep. 2021, Virtual] Guest lecture “Adversarial, Backdoor and Unlearnable” at Secure Learning Lab, Computer Science Department at the University of Illinois Urbana-Champaign (UIUC).
[June 2021, Virtual] I gave a talk “Unlearnable Examples: Making Personal Data Unexploitable” at Xixiang Lv’s group, School of network and information security, Xidian University.
[May 2021, Virtual] Guest lecture “Privacy and Security in Federated Learning” Yisen Wang’s group, Department of Machine Intelligence, EECS, Peking University.
[May 2021, Virtual] I gave a talk “Adversarial, Backdoor, and Beyond” at Jingyi Wang’s group, College of Control Science and Engineering, Zhejiang University.

[July 2020, Virtual] Invited talk at Applied Artificial Intelligence Institute (A²I²), Deakin University: Towards Secure and Robust Machine Learning.
[Apr. 2020, Virtual] Invited talk at Vision And Learning SEminar (VALSE): Recent advances in adversarial machine learning: defense, transferable and camouflaged attacks.

[Dec. 2019, Jilin, China] Invited talk at School of AI, Jilin University: Deep Learning & Generative Adversarial Networks
[Nov. 2019, Melbourne, Australia] Invited talk at AusNet: Deep Learning & Generative Adversarial Networks
[July 2019, Adelaide, Australia] Invited tutorial at Australasian Joint Conference on Artificial Intelligence (AI2019): A tutorial on adversarial machine learning
[June 2019, Tokyo, Japan] Invited talk at Imperfect Information Learning Team, RIKEN Center for Advanced Intelligence Project: On Adversarial Understanding, Detection and Defense
[Mar. 2019, Melbourne, Australia] Invited talk at Swinburne University of Technology: A Local Intrinsic Dimensionality (LID) Perspective of Adversarial Examples.

[July 2018, Stockholm, Swiden] Conference oral presentation at ICML 2018: Dimensionality-Driven Learning with Noisy Labels. [Poster] [Slides]
[June 2018, NII, Tokyo, Japan] Invited talk at NII, Japan: Deep Learning and Local Intrinsic Dimensionality. [Slides]
[May 2018, Vancouver, Canada] Conference oral presentation at ICLR 2018: Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. [Poster] [Slides]

[Dec. 2017, Melbourne, Australia] Invited talk: Machine learning and AI in practice (and beyond) using Tensorflow at 2017 IAPA National Conference Advancing Analytics. [Slides]
[Sep. 2017, Quebec City, Canada] Conference oral presentation at IJCAI 2017: Adversarial generation of real-time feedback with neural networks for simulation-based training. [Poster]
[July 2017, Melbourne, Australia] Conference presentation at MICCAI 2017: Providing Effective Real-time Feedback in Simulation-based Surgical Training. [Poster] [Slides]