Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement
- Chao Han Yang
- Jun Qi
- et al.
- 2020
- ICASSP 2020
Bio
Pin-Yu Chen is a Principal Research Staff Member of the Trusted AI Group, IBM Thomas J. Watson Research Center. He is also the Chief Scientist of RPI-IBM AI Research Collaboration program and a PI of MIT-IBM Watson AI Lab projects.
His recent research focuses on adversarial machine learning of neural networks for robustness and safety, and more broadly, making machine learning trustworthy.
♦ Pin-Yu's research highlights can be found from HERE
♦ Pin-Yu is open to collaboration with highly motivated researchers!
Pin-Yu received his Ph.D. degree in electrical engineering and computer science (EECS) and M.A. degree in Statistics from the University of Michigan Ann Arbor in 2016, under the supervision of Prof. Alfred Hero.
♦ Please refer to his personal webpage for more details - www.pinyuchen.com
Publications
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
- Minhao Cheng
- Simranjit Singh
- et al.
- 2020
- ICLR 2020
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness
- Pu Zhao
- Pin-Yu Chen
- et al.
- 2020
- ICLR 2020
DBA: Distributed Backdoor Attacks against Federated Learning
- Chulin Xie
- Keli Huang
- et al.
- 2020
- ICLR 2020
Toward A Neuro-inspired Creative Decoder
- Payel Das
- Brian Quanz
- et al.
- 2020
- ICLR 2020
Artificial intelligence method to design and fold alpha-helical structural proteins from the primary amino acid sequence
- Zhao Qin
- Lingfei Wu
- et al.
- 2020
- Extreme Mechanics Letters
Guaranteed Convergence of Training Convolutional Neural Networks via Accelerated Gradient Descent
- Shuai Zhang
- Meng Wang
- et al.
- 2020
- CISS 2020
Towards certificated model robustness against weight perturbations
- Tsui Wei Weng
- Pu Zhao
- et al.
- 2020
- AAAI 2020
Towards query-efficient black-box adversary with zeroth-order natural gradient descent
- Pu Zhao
- Pin-Yu Chen
- et al.
- 2020
- AAAI 2020
Reinforcement-learning based portfolio management with augmented asset movement prediction states
- Yunan Ye
- Hengzhi Pei
- et al.
- 2020
- AAAI 2020
Patents
- US
- 11538248
- US
- 11507787
- US
- 11416775
- US
- 11397891
- US
- 11394742
- US
- 11227231
- US
- 11222242
- US
- 11174289
- US
- 11113741
Blog posts
Serving customized AI models at scale with LoRA
ResearchKim MartineauWhat’s an LLM context window and why is it getting larger?
NewsKim MartineauWhat is red teaming for generative AI?
ExplainerKim MartineauAccelerating molecular optimization with AI
Deep DivePayel Das, Samuel Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, and Pin-Yu Chen11 minute read- See more blog posts
Top collaborators
PD
Payel Das
Principal Research Scientist and Manager, IBM Research AI