• "Defense Against Syntactic Textual Backdoor Attacks,'' School of Management, Fudan University, China, July 2025

• "Defense Against Syntactic Textual Backdoor Attacks,'' the 3rd Joint Conference on Statistics and Data Science, Hangzhou, China, July 2025

• "Defense Against Syntactic Textual Backdoor Attacks,'' the ICSA China Conference, Zhuhai, China, June 2025

• "Defense Against Syntactic Textual Backdoor Attacks,'' Department of Mathematics, Statistics and Computer Science, University of Illinois Chicago, April 2025

• "Defense Against Syntactic Textual Backdoor Attacks,'' the International Conference on Advances in Interdisciplinary Statistics and Combinatorics, Greensboro, Oct 2024

• "Textual Backdoor Attack Detection,'' the 7th International Conferences on Econometrics and Statistics, Beijing, China, July 2024

• "Defend Against Textual Backdoor Attacks,'' the WNAR/IMS/Graybill Annual Meeting, Fort Collins, Jun 2024

• "CD3 Prediction Using H&E,'' the InterMEL P01 Meeting and Activities, Chapel Hill, May 2024

• "Trusted aggregation: Model filtering backdoor defense in federated learning,'' the 6th International Conferences on Econometrics and Statistics, Tokyo, Japan, Aug 2023

• "Defending against Backdoor Attack,'' the 15th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, United Kingdom, Dec 2022

• "Trusted aggregation: Model filtering backdoor defense in federated learning,'' the International Conference on Advances in Interdisciplinary Statistics and Combinatorics, Greensboro, Oct 2022

• "Detecting adversarial examples with Bayesian neural network,'' the 5th International Conferences on Econometrics and Statistics, Kyoto, Japan, June 2022

• "Detecting Adversarial Examples with Bayesian Neural Network,'' the 7th Bayesian, Fiducial & Frequentist, Toronto, Candada, May 2022

• "On the Robustness of Machine Learning Systems,'' San Francisco Bay Area Chapter of American Statistical Association (SFASA), Virtual, Apr 2022

• "On the Robustness of Deep Neural Networks,'' Cisco Systems, Inc., Virtual, Apr 2022

• "On the Robustness of Deep Neural Networks,” Rensselaer Polytechnic Institute, Virtual, Feb 2022

• "ER-Classifier and BATer,'' Presentation, Auburn University, Virtual, Oct 2021

• "Towards robustness of deep neural networks via regularization,” ICCV poster presentation, Virtual, Oct 2021

• "Defending against adversarial attacks by regularized deep embedding,'' Symposium on Data Science & Statistics, Bellevue, May 2019

• "Improved adversarial defense through robust bayesian neural network,'' ICLR poster presentation, New Orleans,May 2019

• "Learning from group comparisons: Exploiting higher order interactions,'' NeurIPS Poster Presentation, Montreal, Dec 2018