| Autorep: Automatic relu replacement for fast private network inference H Peng*, S Huang*, T Zhou*, Y Luo, C Wang, Z Wang, J Zhao, X Xie, A Li, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 53 | 2023 |
| Energy efficient virtual machine placement with an improved ant colony optimization over data center networks W Wei, H Gu, W Lu, T Zhou, X Liu IEEE Access 7, 60617-60625, 2019 | 52 | 2019 |
| NNSplitter: An Active Defense Solution to DNN Model via Automated Weight Obfuscation T Zhou, Y Luo, S Ren, X Xu ICML 2023, 2023 | 39 | 2023 |
| Obfunas: A neural architecture search-based dnn obfuscation approach T Zhou, S Ren, X Xu Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022 | 24 | 2022 |
| AdaPI: Facilitating dnn model adaptivity for efficient private inference in edge computing T Zhou, J Zhao, Y Luo, X Xie, W Wen, C Ding, X Xu Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided …, 2024 | 22 | 2024 |
| Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature T Zhou, X Zhao, X Xu, S Ren NeurIPS 2024, 2024 | 22 | 2024 |
| Mirrornet: A tee-friendly framework for secure on-device dnn inference Z Liu, Y Luo, S Duan, T Zhou, X Xu 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023 | 21 | 2023 |
| Neural architecture search for adversarial robustness via learnable pruning Y Li, P Zhao, R Ding, T Zhou, Y Fei, X Xu, X Lin Frontiers in High Performance Computing 2, 1301384, 2024 | 9 | 2024 |
| TBNet: A Neural Architectural Defense Framework Facilitating DNN Model Protection in Trusted Execution Environments Z Liu, T Zhou, Y Luo, X Xu DAC 2024, 2024 | 6 | 2024 |
| Deep neural network security from a hardware perspective T Zhou, Y Zhang, S Duan, Y Luo, X Xu 2021 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 1-6, 2021 | 6 | 2021 |
| ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary Predictor T Zhou, S Ren, X Xu The Twelfth International Conference on Learning Representations (ICLR), 2024 | 4 | 2024 |
| Probe-Me-Not: Protecting Pre-trained Encoders from Malicious Probing R Ding, T Zhou, L Su, AA Ding, X Xu, Y Fei NDSS 2025, 2024 | 2 | 2024 |
| A Content-dependent Watermark for Safeguarding Image Attribution T Zhou, R Ding, G Liu, C Fleming, RR Kompella, Y Fei, X Xu, S Ren arXiv preprint arXiv:2509.10766, 2025 | | 2025 |
| ProDiF: Protecting Domain-Invariant Features to Secure Pre-Trained Models Against Extraction T Zhou, S Duan, G Liu, C Fleming, RR Kompella, S Ren, X Xu ICLR 2025 Workshop on Neural Network Weights as a New Data Modality, 2025 | | 2025 |
| ProDiF: Protecting Domain-Invariant Features to Secure Pre-Trained Models Against Extraction T Zhou, S Duan, G Liu, C Fleming, RR Kompella, S Ren, X Xu Workshop on Neural Network Weights as a New Data Modality, 0 | | |
