On the Limitation of MagNet Defense Against L1-Based Adversarial Examples
- Pei Hsuan Lu
- Pin-Yu Chen
- et al.
- 2018
- DSN-W 2018
Pin-Yu Chen
Title
Principal Research Scientist; Chief Scientist, RPI-IBM AI Research Collaboration
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
Attacking visual language grounding with adversarial examples: A case study on neural image captioning
- Hongge Chen
- Huan Zhang
- et al.
- 2018
- ACL 2018
Phase Transitions and a Model Order Selection Criterion for Spectral Graph Clustering
- Pin-Yu Chen
- Alfred O. Hero
- 2018
- IEEE TSP
Evaluating the robustness of neural networks: An extreme value theory approach
- Tsui Wei Weng
- Huan Zhang
- et al.
- 2018
- ICLR 2018
Attacking the Madry defense model with L1-based adversarial examples
- Yash Sharma
- Pin-Yu Chen
- 2018
- ICLR 2018
On the limitation of local intrinsic dimensionality for characterizing the subspaces of adversarial examples
- Pei Hsuan Lu
- Pin-Yu Chen
- et al.
- 2018
- ICLR 2018
Zeroth-order online alternating direction method of multipliers: Convergence analysis and applications
- Sijia Liu
- Jie Chen
- et al.
- 2018
- AISTATS 2018
Accelerated Distributed Dual Averaging over Evolving Networks of Growing Connectivity
- Sijia Liu
- Pin-Yu Chen
- et al.
- 2018
- IEEE TSP
EAD: Elastic-net attacks to deep neural networks via adversarial examples
- Pin-Yu Chen
- Yash Sharma
- et al.
- 2018
- AAAI 2018
Incremental eigenpair computation for graph Laplacian matrices: theory and applications
- Pin-Yu Chen
- Baichuan Zhang
- et al.
- 2017
- Social Network Analysis and Mining
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
KV
Kush Varshney
IBM Fellow
MP
Mark Purcell
Research Manager - Security Research, AI Security & PETs
AR
Ambrish Rawat
Senior Research Scientist, AI Security and Privacy, Master Inventor