2-Detection

Weilin’s PhD Defense - Improving Robustness of Machine Learning Models using Domain Knowledge

2 minute read

Ph.D. Dissertation Defense by Weilin Xu

DrQi’s Feature Squeezing- Invited Talk at GMU

less than 1 minute read

On April 23 2019, I gave an invited talk at the ARO Invitational Workshop on Foundations of Autonomous Adaptive Cyber Systems

DrQi’s Feature Squeezing- Invited Webinar Talk at I3P

less than 1 minute read

On December 21 @ 12noon, I gave a distinguished webinar talk in the Fall 2018 webinar series of the Institute for Information Infrastructure Protection (I3P)...

NDSS - Feature Squeezing- Detecting Adversarial Examples in Deep Neural Networks

1 minute read

Paper Arxiv

EvadeML-Zoo Benchmarking and Visualization AE Tool is released

2 minute read

We are releasing EvadeML-Zoo: A Benchmarking and Visualization Tool for Adversarial Examples (with 8 pretrained deep models+ 9 state-of-art attacks).

NDSS- Feature Squeezing Mitigates and Detects Carlini-Wagner Adversarial Examples

less than 1 minute read

Paper Arxiv

Qdata

2-Detection

Weilin’s PhD Defense - Improving Robustness of Machine Learning Models using Domain Knowledge

DrQi’s Feature Squeezing- Invited Talk at GMU

DrQi’s Feature Squeezing- Invited Webinar Talk at I3P

NDSS - Feature Squeezing- Detecting Adversarial Examples in Deep Neural Networks

EvadeML-Zoo Benchmarking and Visualization AE Tool is released

NDSS- Feature Squeezing Mitigates and Detects Carlini-Wagner Adversarial Examples