About Me
I am Associate Professor of Information Sciences and Technology at Penn State and a part-time research scientist at Meta. I conduct research at the interface of machine learning, privacy, and security. I direct the Algorithmic Learning, Privacy, and Security (ALPS) Lab. My ongoing work focuses on making AI systems more practically usable by improving
- Security Assurance – resilient against malicious manipulations
- Privacy Preservation – respectful for individual privacy
- Decision-Making Transparency – interpretable to human perception
I joined Penn State in Fall 2019. Prior to that I was an assistant professor at Lehigh. I received my doctoral degree from Georgia Tech and finished my undergrad study at Zhejiang University (China).
Recent News
- Health Risk Prediction accepted by ICDM '22.
- NSF award to support our research on Security Risks of AutoML. Thank you, NSF!
- Android App Analysis received the ACM SIGSOFT Distinguished Paper award!
- Spectral Backdoor Attack accepted by ECCV '22.
- Adversarial Attack on Text accepted by KDD '22.
- Ren >> Meta, Zhaohan >> Uber, Changjiang >> JD. Enjoy your summer!
- Ting is tenured and promoted. Thank you, Penn State!
- Stability of Deep Learning Interpretability accepted by CCS '22.
- Transferable Adversarial Attack accepted by S&P '22.
- (i) AutoML, (ii) Deepfake, (iii) Vehicle Diagnostic Protocol, (iv) Label Inference Attack, (v) Cyber Attack Causality Analysis, and (vi) Android App Fingerprinting accepted by USENIX '22.
- (i) Neural Backdoor Evaluation and (ii) Fair and Robust Classification accepted by EuroS&P '22.
- Hard-Label Adversarial Attack on Text accepted by AAAI '22.
- (i) Android Access Control and (ii) App Fingerprinting accepted by NDSS '22.
Contact Information
- 📩 ting@psu.edu (or inbox.ting@gmail.com)
- 📞 1 (814) 865-0988
- 📪 E369 Westgate Building, University Park, PA 16802
Join Us!
We are ALWAYS looking for motivated and bright (under)grad students and postdocs. If you know how to build/hack AI systems, we should talk! Please email me your resume and set up a time to discuss your potential fit to our team.