Seq2sick: Evaluating the robustness of sequence-to-sequence models with adversarial examples
- Minhao Cheng
- Jinfeng Yi
- et al.
- 2020
- AAAI 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
AI Explainability 360 Toolkit
- Vijay Arya
- Rachel Bellamy
- et al.
- 2021
- CODS-COMAD 2021
Variational Quantum Circuits for Deep Reinforcement Learning
- Samuel Yen-Chi Chen
- Chao-Han Huck Yang
- et al.
- 2020
- IEEE Access
On the design of black-box adversarial examples by leveraging gradient-free optimization and operator splitting method
- Pu Zhao
- Sijia Liu
- et al.
- 2019
- ICCV 2019
When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks
- Chao-Han Huck Yang
- Yi Chieh Liu
- et al.
- 2019
- ICIP 2019
Neural-brane: An inductive approach for attributed network embedding
- Vachik S. Dave
- Baichuan Zhang
- et al.
- 2019
- ASONAM 2019
Protecting neural networks with hierarchical random switching: Towards better robustness-accuracy trade-off for stochastic defenses
- Xiao Wang
- Siyue Wang
- et al.
- 2019
- IJCAI 2019
Topology attack and defense for graph neural networks: An optimization perspective
- Kaidi Xu
- Hongge Chen
- et al.
- 2019
- IJCAI 2019
Recent progress in zeroth order optimization and its applications to adversarial robustness in data mining and machine learning
- Pin-Yu Chen
- Sijia Liu
- 2019
- KDD 2019
Poster: Characterizing adversarial subspaces by mutual information
- Chia-Yi Hsu
- Pin-Yu Chen
- et al.
- 2019
- ASIA CCS 2019
Patents
- CN
- ZL201980030031.2
- US
- 12061991
- US
- 12020480
- JP
- 7507851
- CN
- ZL202010827714.5
- GB
- 2603391
- CN
- ZL 202010055649.9
- US
- 11880765
- US
- 11853713
- US
- 11853702
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