Yuhao Mao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Adaptive Filtering

Domain Specific Information

Gaussian Smoothing

Top Venues

IEEE Symposium on Security and Privacy

Publications

Tao Zou, Yuhao Mao, Junchen Ye, Bowen Du
Repeat-Aware Neighbor Sampling for Dynamic Graph Learning. CoRR (2024)
Maximilian Baader, Mark Niklas Müller, Yuhao Mao, Martin T. Vechev
Expressivity of ReLU-Networks under Convex Relaxations. ICLR (2024)
Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin T. Vechev
Understanding Certified Training with Interval Bound Propagation. ICLR (2024)
Stefan Balauca, Mark Niklas Müller, Yuhao Mao, Maximilian Baader, Marc Fischer, Martin T. Vechev
Overcoming the Paradox of Certified Training with Gaussian Smoothing. CoRR (2024)
Yuhao Mao, Stefan Balauca, Martin T. Vechev
CTBENCH: A Library and Benchmark for Certified Training. CoRR (2024)
Tao Zou, Yuhao Mao, Junchen Ye, Bowen Du
Repeat-Aware Neighbor Sampling for Dynamic Graph Learning. KDD (2024)
Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin T. Vechev
Understanding Certified Training with Interval Bound Propagation. CoRR (2023)
Zekun Qiu, Zhipu Xie, Zehua Ji, Yuhao Mao, Ke Cheng
SMAP: A Novel Heterogeneous Information Framework for Scenario-based Optimal Model Assignment. CoRR (2023)
Maximilian Baader, Mark Niklas Müller, Yuhao Mao, Martin T. Vechev
Expressivity of ReLU-Networks under Convex Relaxations. CoRR (2023)
Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin T. Vechev
TAPS: Connecting Certified and Adversarial Training. CoRR (2023)
Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin T. Vechev
Connecting Certified and Adversarial Training. NeurIPS (2023)
Yuyou Gan, Yuhao Mao, Xuhong Zhang, Shouling Ji, Yuwen Pu, Meng Han, Jianwei Yin, Ting Wang
"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution. CCS (2022)
Yuyou Gan, Yuhao Mao, Xuhong Zhang, Shouling Ji, Yuwen Pu, Meng Han, Jianwei Yin, Ting Wang
"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution. CoRR (2022)
Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings. IEEE Symposium on Security and Privacy (2022)
Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings. CoRR (2022)
Yuhao Mao, Qihe Shan, Tieshan Li, Shun Yang, Qihang Yi
Adaptive Containment Control for Unmanned Surface Vessels. SPAC (2021)
Yuhao Mao, Serguei A. Mokhov, Sudhir P. Mudur
Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy. CoRR (2021)
Sudhir P. Mudur, Serguei A. Mokhov, Yuhao Mao
A Framework for Enhancing Deep Learning Based Recommender Systems with Knowledge Graphs. IDEAS (2021)
Qihang Yi, Yi Zuo, Tieshan Li, Yuhao Mao, Yang Xiao
Forecasting of Vessel Traffic Flow Using BPNN Based on Genetic Algorithm Optimization. IWCMC (2021)
Peng Zhu, Wenhan Dong, Yuhao Mao, Haoyu Shi, Xiaoshan Ma
Kernel Adaptive Filtering Multiple-model Actuator Fault Diagnostic For Multi-effectors Aircraft. ASCC (2019)