2026

DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models

Jia Fu, Yongtao Wu, Yihang Chen, Kunyu Peng, Xiao Zhang, Volkan Cevher, Sepideh Pashami, Anders Holst

Transactions on Machine Learning Research

2025

Hadamard Product in Deep Learning: Introduction, Advances and Challenges

Grigorios Chrysos, Yongtao Wu, Razvan Pascanu, Philip Torr, Volkan Cevher

Transactions on Pattern Analysis and Machine Intelligence

Multi-Step Alignment as Markov Games: An Optimistic Online Gradient Descent Approach with Convergence Guarantees

Yongtao Wu (共同一作), Luca Viano，Yihang Chen, Zhenyu Zhu, Kimon Antonakopoulos, Quanquan Gu, Volkan Cevher

Transactions on Machine Learning Research

Quantum-PEFT: Ultra Parameter-efficient Fine-tuning

Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu, Zhenqing Wu, Leyla Naz Candogan, Volkan Cevher

International Conference on Learning Representations

Robustness in Both Domains: CLIP Needs a Robust Text Encoder

Elias Abad Rocamora, Christian Schlarmann, Naman Deep Singh, Yongtao Wu, Matthias Hein, Volkan Cevher

Conference on Neural Information Processing Systems

Linear Attention for Efficient Bidirectional Sequence Modeling

Arshia Afzal, Elias Abad Rocamora, Leyla Naz Candogan, Pol Puigdemont, Francesco Tonin, Yongtao Wu, Mahsa Shoaran, Volkan Cevher

Conference on Neural Information Processing Systems

2024

Robust NAS under Adversarial Training: Benchmark, Theory, and Beyond

Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios Chrysos, Volkan Cevher

International Conference on Learning Representations

Revisiting Character-level Adversarial Attacks for Language Models

Elias Abad Rocamora, Yongtao Wu (通讯作者), Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher

International Conference on Machine Learning

Membership Inference Attacks against Large Vision-Language Models

Zhan Li, Yongtao Wu (共同一作),  Yihang Chen, Francesco Tonin, Elias Abad Rocamora, Volkan Cevher

Conference on Neural Information Processing Systems

Universal Gradient Methods for Stochastic Convex Optimization

Anton Rodomanov, Ali Kavis, Yongtao Wu, Kimon Antonakopoulos, Volkan Cevher

International Conference on Machine Learning

Single-pass Detection of Jailbreaking Input in Large Language Models

Leyla Naz Candogan, Yongtao Wu, Elias Abad Rocamora, Grigorios G. Chrysos, Volkan Cevher

Transactions on Machine Learning Research

2023

On the Convergence of Encoder-only Shallow Transformers

Yongtao Wu, Fanghui Liu, Grigorios G Chrysos, Volkan Cevher

Conference on Neural Information Processing Systems

2022

Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study

Yongtao Wu, Zhenyu Zhu, Fanghui Liu, Grigorios G Chrysos, Volkan Cevher

Conference on Neural Information Processing Systems