| Nicgslowdown: Evaluating the efficiency robustness of neural image caption generation models S Chen, Z Song, M Haque, C Liu, W Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 32 | 2022 |
| Sibling-attack: Rethinking transferable adversarial attacks against face recognition Z Li, B Yin, T Yao, J Guo, S Ding, S Chen, C Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 28 | 2023 |
| Deepperform: An efficient approach for performance testing of resource-constrained neural networks S Chen, M Haque, C Liu, W Yang Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 21 | 2022 |
| Nmtsloth: understanding and testing efficiency degradation of neural machine translation systems S Chen, C Liu, M Haque, Z Song, W Yang Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 20 | 2022 |
| Denas: automated rule generation by knowledge extraction from neural networks S Chen, S Bateni, S Grandhi, X Li, C Liu, W Yang Proceedings of the 28th ACM joint meeting on European software engineering …, 2020 | 18 | 2020 |
| Learning to reverse dnns from ai programs automatically S Chen, H Khanpour, C Liu, W Yang arXiv preprint arXiv:2205.10364, 2022 | 13 | 2022 |
| The dark side of dynamic routing neural networks: Towards efficiency backdoor injection S Chen, H Chen, M Haque, C Liu, W Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| Dynamic transformers provide a false sense of efficiency Y Chen, S Chen, Z Li, W Yang, C Liu, RT Tan, H Li arXiv preprint arXiv:2305.12228, 2023 | 7 | 2023 |
| Slothspeech: Denial-of-service attack against speech recognition models M Haque, R Shah, S Chen, B Şişman, C Liu, W Yang arXiv preprint arXiv:2306.00794, 2023 | 5 | 2023 |
| Estimating predictive uncertainty under program data distribution shift Y Li, S Chen, W Yang arXiv preprint arXiv:2107.10989, 2021 | 4 | 2021 |
| Dycl: Dynamic neural network compilation via program rewriting and graph optimization S Chen, S Wei, C Liu, W Yang Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 3 | 2023 |
| LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models X Feng, X Han, S Chen, W Yang ACM Transactions on Software Engineering and Methodology, 2024 | 2 | 2024 |
| Transslowdown: Efficiency Attacks on Neural Machine Translation Systems S Chen, M Haque, Z Song, C Liu, W Yang | 2 | 2021 |
| PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models S Chen, X Feng, X Han, C Liu, W Yang Proceedings of the ACM on Software Engineering 1 (FSE), 1194-1215, 2024 | 1 | 2024 |
| Automated Testing Linguistic Capabilities of NLP Models J Lee, S Chen, A Mordahl, C Liu, W Yang, S Wei ACM Transactions on Software Engineering and Methodology, 2024 | 1 | 2024 |
| AntiNODE: Evaluating Efficiency Robustness of Neural ODEs M Haque, S Chen, W Haque, C Liu, W Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| AttackDist: Characterizing Zero-day Adversarial Samples by Counter Attack S Chen, Z Song, L Ma, C Liu, W Yang | 1 | 2021 |
| DeciX: Explain Deep Learning Based Code Generation Applications S Chen, Z Li, W Yang, C Liu Proceedings of the ACM on Software Engineering 1 (FSE), 2424-2446, 2024 | | 2024 |
| Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study Y Li, S Chen, Y Guo, W Yang, Y Dong, C Liu arXiv preprint arXiv:2402.05939, 2024 | | 2024 |
| SlothBomb: Efficiency Poisoning Attack against Dynamic Neural Networks S Chen, H Chen, M Haque, C Liu, W Yang | | |
Cong LiuUniversity of California Riverside, Associate Professor在 ucr.edu 的电子邮件经过验证
