Clutter and Range Ambiguity Suppression Using Diverse Pulse Train in Pulse Doppler System. - Jiacen Xu; Lixiang Ren; Huayu Fan; Erke Mao; Quanhua Liu 002 (Sensors, 2018)

Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense. - Jingkang Wang; Tianyun Zhang; Sijia Liu 001; Pin-Yu Chen; Jiacen Xu; Makan Fardad; Bo Li 026 (CoRR, 2019)

An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms. - Ruoxi Jia 001; Xuehui Sun; Jiacen Xu; Ce Zhang 001; Bo Li 026; Dawn Song (CoRR, 2019)

Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? - Ruoxi Jia 001; Fan Wu 011; Xuehui Sun; Jiacen Xu; David Dao; Bhavya Kailkhura; Ce Zhang 001; Bo Li 026; Dawn Song (CVPR, 2021)

Adversarial Attack Generation Empowered by Min-Max Optimization. - Jingkang Wang; Tianyun Zhang; Sijia Liu 001; Pin-Yu Chen; Jiacen Xu; Makan Fardad; Bo Li 026 (NeurIPS, 2021)

Attacking Point Cloud Segmentation with Color-only Perturbation. - Jiacen Xu; Zhe Zhou 001; Boyuan Feng; Yufei Ding 001; Zhou Li 001 (CoRR, 2021)

Subgraph matching based reference placement for PCB designs: late breaking results. - Miaodi Su; Yifeng Xiao; Shu Zhang; Haiyuan Su; Jiacen Xu; Huan He; Ziran Zhu; Jianli Chen; Yao-Wen Chang (DAC, 2022)

A Comprehensive Study of DNS Operational Issues by Mining DNS Forums. - Xianran Liao; Jiacen Xu; Qifan Zhang 002; Zhou Li 001 (IEEE Access, 2022)

Maestro: A Gamified Platform for Teaching AI Robustness. - Margarita Geleta; Jiacen Xu; Manikanta Loya; Junlin Wang; Sameer Singh 001; Zhou Li 001; Sergio Gago Masagué (AAAI, 2023)

On Adversarial Robustness of Point Cloud Semantic Segmentation. - Jiacen Xu; Zhe Zhou 001; Boyuan Feng; Yufei Ding 001; Zhou Li 001 (DSN, 2023)

Design Factors of Maestro: A Serious Game for Robust AI Education. - Margarita Geleta; Jiacen Xu; Manikanta Loya; Junlin Wang; Sameer Singh 001; Zhou Li 001; Sergio Gago Masagué (SIGCSE (2), 2023)

HOMESPY: The Invisible Sniffer of Infrared Remote Control of Smart TVs. - Kong Huang; Yutong Zhou; Ke Zhang; Jiacen Xu; Jiongyi Chen; Di Tang 001; Kehuan Zhang (USENIX Security Symposium, 2023)

PROGRAPHER: An Anomaly Detection System based on Provenance Graph Embedding. - Fan Yang; Jiacen Xu; Chunlin Xiong; Zhou Li 001; Kehuan Zhang (USENIX Security Symposium, 2023)

Obstacle-Aware Length-Matching Routing for Any-Direction Traces in Printed Circuit Board. - Weijie Fang; Longkun Guo; Jiawei Lin; Silu Xiong; Huan He; Jiacen Xu; Jianli Chen (DAC, 2024)

Understanding and Bridging the Gap Between Unsupervised Network Representation Learning and Security Analytics. - Jiacen Xu; Xiaokui Shu; Zhou Li 001 (SP, 2024)

AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks. - Jiacen Xu; Jack W. Stokes; Geoff McDonald; Xuesong Bai; David Marshall 001; Siyue Wang; Adith Swaminathan; Zhou Li 001 (CoRR, 2024)

Entente: Cross-silo Intrusion Detection on Network Log Graphs with Federated Learning. - Jiacen Xu; Chenang Li; Yu Zheng; Zhou Li 001 (CoRR, 2025)

Dynamic Risk Assessments for Offensive Cybersecurity Agents. - Boyi Wei; Benedikt Stroebl; Jiacen Xu; Joie Zhang; Zhou Li 001; Peter Henderson 002 (CoRR, 2025)

From Alerts to Intelligence: A Novel LLM-Aided Framework for Host-based Intrusion Detection. - Danyu Sun; Jinghuai Zhang; Jiacen Xu; Yu Zheng; Yuan Tian; Zhou Li 001 (CoRR, 2025)