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Jiacen Xu
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2020 – today
- 2024
- [i6]Jiacen Xu, Jack W. Stokes, Geoff McDonald, Xuesong Bai, David Marshall, Siyue Wang, Adith Swaminathan, Zhou Li:
AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks. CoRR abs/2403.01038 (2024) - [i5]Weijie Fang, Longkun Guo, Jiawei Lin, Silu Xiong, Huan He, Jiacen Xu, Jianli Chen:
Obstacle-Aware Length-Matching Routing for Any-Direction Traces in Printed Circuit Board. CoRR abs/2407.19195 (2024) - 2023
- [c8]Margarita Geleta
, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago Masagué:
Maestro: A Gamified Platform for Teaching AI Robustness. AAAI 2023: 15816-15824 - [c7]Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding, Zhou Li:
On Adversarial Robustness of Point Cloud Semantic Segmentation. DSN 2023: 531-544 - [c6]Margarita Geleta
, Jiacen Xu
, Manikanta Loya
, Junlin Wang
, Sameer Singh
, Zhou Li
, Sergio Gago Masagué
:
Design Factors of Maestro: A Serious Game for Robust AI Education. SIGCSE (2) 2023: 1318 - [c5]Fan Yang, Jiacen Xu, Chunlin Xiong, Zhou Li
, Kehuan Zhang:
PROGRAPHER: An Anomaly Detection System based on Provenance Graph Embedding. USENIX Security Symposium 2023: 4355-4372 - [c4]Kong Huang, Yutong Zhou, Ke Zhang, Jiacen Xu, Jiongyi Chen, Di Tang, Kehuan Zhang:
HOMESPY: The Invisible Sniffer of Infrared Remote Control of Smart TVs. USENIX Security Symposium 2023: 4553-4570 - [i4]Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago Masagué:
Maestro: A Gamified Platform for Teaching AI Robustness. CoRR abs/2306.08238 (2023) - 2022
- [j2]Xianran Liao, Jiacen Xu, Qifan Zhang
, Zhou Li
:
A Comprehensive Study of DNS Operational Issues by Mining DNS Forums. IEEE Access 10: 110807-110820 (2022) - [c3]Miaodi Su, Yifeng Xiao, Shu Zhang, Haiyuan Su, Jiacen Xu, Huan He, Ziran Zhu, Jianli Chen, Yao-Wen Chang:
Subgraph matching based reference placement for PCB designs: late breaking results. DAC 2022: 1400-1401 - 2021
- [c2]Ruoxi Jia, Fan Wu, Xuehui Sun, Jiacen Xu, David Dao, Bhavya Kailkhura, Ce Zhang, Bo Li, Dawn Song:
Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? CVPR 2021: 8239-8247 - [c1]Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li:
Adversarial Attack Generation Empowered by Min-Max Optimization. NeurIPS 2021: 16020-16033 - [i3]Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding, Zhou Li:
Attacking Point Cloud Segmentation with Color-only Perturbation. CoRR abs/2112.05871 (2021)
2010 – 2019
- 2019
- [i2]Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li:
Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense. CoRR abs/1906.03563 (2019) - [i1]Ruoxi Jia, Xuehui Sun, Jiacen Xu, Ce Zhang, Bo Li, Dawn Song:
An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms. CoRR abs/1911.07128 (2019) - 2018
- [j1]Jiacen Xu, Lixiang Ren, Huayu Fan, Erke Mao, Quanhua Liu:
Clutter and Range Ambiguity Suppression Using Diverse Pulse Train in Pulse Doppler System. Sensors 18(7): 2326 (2018)
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last updated on 2024-08-25 20:04 CEST by the dblp team
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