Qi Zhao

According to our database, Qi Zhao authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

S2AP: Score-space Sharpness Minimization for Adversarial Pruning.

Giorgio Piras, Qi Zhao, Fabio Brau, Maura Pintor, Christian Wressnegger, Battista Biggio

CoRR, October, 2025

Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor.

Qi Zhao, Christian Wressnegger

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Adversarially Robust Anti-Backdoor Learning.

Qi Zhao, Christian Wressnegger

Proceedings of the 2024 Workshop on Artificial Intelligence and Security, 2024

2023

Holistic Adversarially Robust Pruning.

Qi Zhao, Christian Wressnegger

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology.

Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Emanuele Valpreda, Manfredi Camalleri, Qi Zhao, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele

Leibniz Trans. Embed. Syst., 2022

Non-Uniform Adversarially Robust Pruning.

Qi Zhao, Tim Köonigl, Christian Wressnegger

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks.

Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele

Proceedings of the Intelligent Systems and Applications, 2021

Adversarial Robust Model Compression Using In-Train Pruning.

Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Sreetama Sarkar, Qi Zhao, Sabine Kuhn, Lukas Frickenstein, Anmol Singh, Christian Unger, Naveen Shankar Nagaraja, Christian Wressnegger, Walter Stechele

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021