Talks



  • "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
  • "ER-Classifier and BATer”, Presentation, Auburn University, 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


Talk Map

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