EncoderMI: Membership inference against pre-trained encoders in contrastive learning H Liu, J Jia, W Qu, NZ Gong CCS 2021, 2021 | 71 | 2021 |
jTrans: jump-aware transformer for binary code similarity detection H Wang*, W Qu*, G Katz, W Zhu, Z Gao, H Qiu, J Zhuge, C Zhang ISSTA 2022, 2022 | 56* | 2022 |
Mass personalization strategy under Industrial Internet of Things: a case study on furniture production J Ding, M Wang, X Zeng, W Qu*, VS Vassiliadis Advanced Engineering Informatics, 2021 | 19 | 2021 |
MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples J Jia*, W Qu*, NZ Gong NIPS 2022, 2022 | 5 | 2022 |
MPass: Bypassing Learning-based Static Malware Detectors J Wang, W Qu, Y Rong, H Qiu, Q Li, Z Li, C Zhang DAC 2023, 2023 | 2 | 2023 |
Pre-trained encoders in self-supervised learning improve secure and privacy-preserving supervised learning H Liu, W Qu, J Jia, NZ Gong arXiv preprint arXiv:2212.03334, 2022 | 2 | 2022 |
A Certified Radius-Guided Attack Framework to Image Segmentation Models W Qu, Y Li, B Wang EuroSP 2023, 2023 | 1 | 2023 |
Provably Robust Multi-bit Watermarking for AI-generated Text via Error Correction Code W Qu, D Yin, Z He, W Zou, T Tao, J Jia, J Zhang arXiv preprint arXiv:2401.16820, 2024 | | 2024 |
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service W Qu, J Jia, NZ Gong NDSS 2023, 2023 | | 2023 |