| 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 | 151 | 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 Network and Distributed System Security (NDSS) 2018, 2018 | 75 | 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 | 55 | 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 | 34 | 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 | 24 | 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 | 14 | 2019 |
| Learn To be Efficient: Build Structured Sparsity in Large Language Models H Zheng, X Bai, X Liu, ZM Mao, B Chen, F Lai, A Prakash Advances in Neural Information Processing Systems (NeurIPS) 2024, Spotlight, 2024 | 13 | 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 | 10 | 2024 |
| 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 | 7 | 2024 |
| Understanding and diagnosing vulnerability under adversarial attacks H Zheng, Z Zhang, H Lee, A Prakash arXiv preprint arXiv:2007.08716, 2020 | 6 | 2020 |
| Label-Free Coreset Selection with Proxy Training Dynamics H Zheng, E Tsai, Y Lu, J Sun, BR Bartoldson, B Kailkhura, A Prakash International Conference on Learning Representations (ICLR) 2025, 2025 | 4* | 2025 |
| 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 | 4 | 2024 |
| Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale E Tsai, N Mangaokar, B Zheng, H Zheng, A Prakash THE WEB CONFERENCE (WWW) 2025, Oral, 2025 | | 2025 |
| Bridging Data and Hardware Gap for Efficient Machine Learning Model Scaling H Zheng | | 2024 |
Atul PrakashProfessor of EECS, University of Michigan確認したメール アドレス: umich.edu