Talks and presentations
See a map of all the places I've given a talk!
September 20, 2024
Talk, Universität des Saarlandes, Saarbrücken, Germany
In this invited talk, we introduced the fundamentals of interpretability in neural networks, aiming to make the topic accessible to university students new to the field. We explored why interpretability is essential, discussed key methods for analyzing neural networks, and highlighted how these insights can pave the way for impactful research. The session aimed to inspire and equip students with the knowledge to embark on their AI research journey.
March 22, 2024
Talk, Tianjin University of Technology, Tianjin, China
I was invited to give a talk on adversarial attacks in 3D representation for master’s students. In this session, I introduced the background, motivation, and fundamental concepts of the problem before presenting our work on adversarial attacks targeting 3D point clouds and Neural Radiance Fields (NeRF).
September 22, 2023
Talk, Chongqing Jiaotong University, Chongqing, China
I was invited to give a talk on adversarial attacks in deep learning for bachelor’s students. In this session, I introduced the background, motivation, and fundamental concepts of the problem before discussing class work on adversarial attacks and presenting state-of-the-art advancements, including our work on adversarial attacks on images.
April 20, 2023
Talk, LinkMedia, Inria, Rennes, France
I was invited to give a talk on the interpretability problem in deep learning to the entire research team. In this session, I introduced the background, motivation, and fundamental concepts of the problem before presenting our work on optimizing saliency maps for improved interpretability.
November 27, 2020
Totorial, Workshop I: Dependable Deep Learning} of Symposium on Dependable Software Engineering Theories, Tools and Applications (SETTA), Guangzhou, China
I was invited to give a tutorial on adversarial attacks in deep learning for researchers attending the workshop. In this session, I introduced the background, motivation, and fundamental concepts of the problem before discussing class work on adversarial attacks and presenting state-of-the-art advancements, including our work on adversarial attacks on images. I also provided an overview of existing tools for running attacks.
