Chongli Qin
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Generative Adversarial Networks and Image Synthesis, Physical Unclonable Functions (PUFs) and Hardware Security, Advanced Neural Network Applications, Model Reduction and Neural Networks
Most-Cited Works
- → Improved protein structure prediction using potentials from deep learning(2020)3,444 cited
- → Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)(2019)359 cited
- → On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models(2018)300 cited
- → Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples(2020)144 cited
- → Scalable Verified Training for Provably Robust Image Classification(2019)137 cited
- Adversarial Robustness through Local Linearization(2019)
- → Power law tails in phylogenetic systems(2018)74 cited
- → An Alternative Surrogate Loss for PGD-based Adversarial Testing(2019)52 cited
- Efficient Neural Network Verification with Exactness Characterization(2019)