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Renjue Li
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2020 – today
- 2024
- [c7]Tao Lin, Lijia Yu, Gaojie Jin, Renjue Li, Peng Wu, Lijun Zhang:
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors. ECCV (66) 2024: 269-287 - [c6]Hanwei Zhang, Luo Cheng, Qisong He, Wei Huang, Renjue Li, Ronan Sicre, Xiaowei Huang, Holger Hermanns, Lijun Zhang:
Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds. SETTA 2024: 310-326 - [c5]Renjue Li
, Tianhang Qin
ISS-Scenario: Scenario-Based Testing in CARLA. TASE 2024: 279-286 - [i10]Zhiming Chi, Jianan Ma, Pengfei Yang, Cheng-Chao Huang, Renjue Li, Xiaowei Huang, Lijun Zhang:
ADVREPAIR: Provable Repair of Adversarial Attack. CoRR abs/2404.01642 (2024) - [i9]Hanwei Zhang, Luo Cheng, Qisong He, Wei Huang, Renjue Li, Ronan Sicre, Xiaowei Huang, Holger Hermanns, Lijun Zhang:
Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds. CoRR abs/2405.14210 (2024) - [i8]Renjue Li, Tianhang Qin, Cas Widdershoven:
ISS-Scenario: Scenario-based Testing in CARLA. CoRR abs/2406.15777 (2024) - [i7]Tao Lin, Lijia Yu, Gaojie Jin, Renjue Li, Peng Wu, Lijun Zhang:
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors. CoRR abs/2410.10091 (2024) - 2023
- [i6]Zhengyu Zhao, Hanwei Zhang, Renjue Li, Ronan Sicre, Laurent Amsaleg, Michael Backes, Qi Li, Chao Shen:
Revisiting Transferable Adversarial Image Examples: Attack Categorization, Evaluation Guidelines, and New Insights. CoRR abs/2310.11850 (2023) - 2022
- [c4]Renjue Li, Pengfei Yang, Cheng-Chao Huang, Youcheng Sun, Bai Xue, Lijun Zhang:
Towards Practical Robustness Analysis for DNNs based on PAC-Model Learning. ICSE 2022: 2189-2201 - [i5]Zhengyu Zhao, Hanwei Zhang, Renjue Li, Ronan Sicre, Laurent Amsaleg, Michael Backes:
Towards Good Practices in Evaluating Transfer Adversarial Attacks. CoRR abs/2211.09565 (2022) - [i4]Renjue Li, Tianhang Qin, Pengfei Yang, Cheng-Chao Huang, Youcheng Sun, Lijun Zhang:
Safety Analysis of Autonomous Driving Systems Based on Model Learning. CoRR abs/2211.12733 (2022) - 2021
- [j1]Pengfei Yang, Jianlin Li, Jiangchao Liu, Cheng-Chao Huang, Renjue Li, Liqian Chen, Xiaowei Huang
Enhancing Robustness Verification for Deep Neural Networks via Symbolic Propagation. Formal Aspects Comput. 33(3): 407-435 (2021) - [c3]Bai Xue, Renjue Li, Naijun Zhan, Martin Fränzle
Reach-avoid Analysis for Stochastic Discrete-time Systems. ACC 2021: 4879-4885 - [c2]Pengfei Yang
Improving Neural Network Verification through Spurious Region Guided Refinement. TACAS (1) 2021: 389-408 - [i3]Renjue Li, Pengfei Yang, Cheng-Chao Huang, Bai Xue, Lijun Zhang:
Probabilistic Robustness Analysis for DNNs based on PAC Learning. CoRR abs/2101.10102 (2021) - [i2]Renjue Li, Hanwei Zhang, Pengfei Yang, Cheng-Chao Huang, Aimin Zhou, Bai Xue, Lijun Zhang:
Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness. CoRR abs/2106.02867 (2021) - 2020
- [c1]Renjue Li, Jianlin Li
PRODeep: a platform for robustness verification of deep neural networks. ESEC/SIGSOFT FSE 2020: 1630-1634 - [i1]Pengfei Yang, Renjue Li, Jianlin Li
Improving Neural Network Verification through Spurious Region Guided Refinement. CoRR abs/2010.07722 (2020)
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