Efficient Adversarial Training with Transferable Adversarial Examples H Zheng, Z Zhang, J Gu, H Lee, A Prakash Computer Vision and Pattern Recognition (CVPR) 2020, 2020 | 131 | 2020 |
Smoke screener or straight shooter: Detecting elite sybil attacks in user-review social networks H Zheng, M Xue, H Lu, S Hao, H Zhu, X Liang, K Ross NDSS 2018, 2018 | 70 | 2018 |
Coverage-centric Coreset Selection for High Pruning Rates H Zheng, R Liu, F Lai, A Prakash International Conference on Learning Representations (ICLR) 2023, 2023 | 36 | 2023 |
You are where you have been: Sybil detection via geo-location analysis in OSNs X Zhang, H Zheng, X Li, S Du, H Zhu 2014 IEEE Global Communications Conference, 698-703, 2014 | 29 | 2014 |
Fake reviews tell no tales? dissecting click farming in content-generated social networks N Li, S Du, H Zheng, M Xue, H Zhu China Communications 15 (4), 98-109, 2018 | 20 | 2018 |
Analyzing the Interpretability Robustness of Self-Explaining Models H Zheng, E Fernandes, A Prakash ICML‘2019 Workshop on Security and Privacy of Machine Learning, 2019 | 12 | 2019 |
Learn To be Efficient: Build Structured Sparsity in Large Language Models H Zheng, X Bai, B Chen, F Lai, A Prakash arXiv preprint arXiv:2402.06126, 2024 | 6 | 2024 |
Understanding and diagnosing vulnerability under adversarial attacks H Zheng, Z Zhang, H Lee, A Prakash arXiv preprint arXiv:2007.08716, 2020 | 6 | 2020 |
Adaptive skeleton graph decoding S Jin, Y Wu, H Zheng, Q Zhang, M Lentz, ZM Mao, A Prakash, F Qian, ... arXiv preprint arXiv:2402.12280, 2024 | 3 | 2024 |
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception J Sun, H Zheng, Q Zhang, A Prakash, ZM Mao, C Xiao International Conference on Learning Representations (ICLR) 2024, 2024 | 3 | 2024 |
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation H Zheng, J Sun, S Wu, B Kailkhura, Z Mao, C Xiao, A Prakash European Conference on Computer Vision (ECCV) 2024, 2024 | 1 | 2024 |
ELFS: Enhancing Label-Free Coreset Selection via Clustering-based Pseudo-Labeling H Zheng, E Tsai, Y Lu, J Sun, BR Bartoldson, B Kailkhura, A Prakash arXiv preprint arXiv:2406.04273, 2024 | | 2024 |