Machine Learning Based DDoS Attack Detection from Source Side in Cloud. - Zecheng He; Tianwei Zhang 004; Ruby B. Lee (CSCloud, 2017)

Cross-scale color image restoration under high density Salt-and-Pepper Noise. - Zecheng He; Ketan Tang; Lu Fang (ICIP, 2017)

How secure is your cache against side-channel attacks? - Zecheng He; Ruby B. Lee (MICRO, 2017)

Detecting Zero-day Controller Hijacking Attacks on the Power-Grid with Enhanced Deep Learning. - Zecheng He; Aswin Raghavan; Sek M. Chai; Ruby B. Lee (CoRR, 2018)

Privacy-preserving Machine Learning through Data Obfuscation. - Tianwei Zhang 004; Zecheng He; Ruby B. Lee (CoRR, 2018)

VerIDeep: Verifying Integrity of Deep Neural Networks through Sensitive-Sample Fingerprinting. - Zecheng He; Tianwei Zhang 004; Ruby B. Lee (CoRR, 2018)

Model inversion attacks against collaborative inference. - Zecheng He; Tianwei Zhang 004; Ruby B. Lee (ACSAC, 2019)

Sensitive-Sample Fingerprinting of Deep Neural Networks. - Zecheng He; Tianwei Zhang 004; Ruby B. Lee (CVPR, 2019)

Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep Learning. - Zecheng He; Aswin Raghavan; Guangyuan Hu; Sek M. Chai; Ruby B. Lee (TrustCom/BigDataSE, 2019)

Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection. - Qingsong Yao; Zecheng He; Hu Han 001; S. Kevin Zhou (MICCAI (4), 2020)

Smartphone Impostor Detection with Built-in Sensors and Deep Learning. - Guangyuan Hu; Zecheng He; Ruby B. Lee (CoRR, 2020)

ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces. - Zecheng He; Srinivas Sunkara; Xiaoxue Zang; Ying Xu; Lijuan Liu; Nevan Wichers; Gabriel Schubiner; Ruby B. Lee; Jindong Chen (AAAI, 2021)

New Models for Understanding and Reasoning about Speculative Execution Attacks. - Zecheng He; Guangyuan Hu; Ruby B. Lee (HPCA, 2021)

A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks. - Qingsong Yao; Zecheng He; Yi Lin 009; Kai Ma 002; Yefeng Zheng 001; S. Kevin Zhou (MICCAI (3), 2021)

SoK: Hardware Defenses Against Speculative Execution Attacks. - Guangyuan Hu; Zecheng He; Ruby B. Lee (SEED, 2021)

Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support. - Guangyuan Hu; Zecheng He; Ruby B. Lee (CoRR, 2021)

CloudShield: Real-time Anomaly Detection in the Cloud. - Zecheng He; Ruby B. Lee (CoRR, 2021)

Medical Aegis: Robust adversarial protectors for medical images. - Qingsong Yao; Zecheng He; S. Kevin Zhou (CoRR, 2021)

Attacking and Protecting Data Privacy in Edge-Cloud Collaborative Inference Systems. - Zecheng He; Tianwei Zhang 004; Ruby B. Lee (IEEE Internet Things J., 2021)

Security Meets Deep Learning - Zecheng He (2021)

CloudShield: Real-time Anomaly Detection in the Cloud. - Zecheng He; Guangyuan Hu; Ruby B. Lee (CODASPY, 2023)

Trainable Projected Gradient Method for Robust Fine-Tuning. - Junjiao Tian; Xiaoliang Dai; Chih-Yao Ma; Zecheng He; Yen-Cheng Liu; Zsolt Kira (CVPR, 2023)

Nowhere to Hide: Toward Robust Reactive Medical Adversarial Defense. - Qingsong Yao; Zecheng He; Xiaodong Yu; S. Kevin Zhou (ISBI, 2024)

Imagine yourself: Tuning-Free Personalized Image Generation. - Zecheng He; Bo Sun; Felix Juefei-Xu; Haoyu Ma; Ankit Ramchandani; Vincent Cheung; Siddharth Shah; Anmol Kalia; Harihar Subramanyam; Alireza Zareian; Li Chen; Ankit Jain; et al. (CoRR, 2024)

Movie Gen: A Cast of Media Foundation Models. - Adam Polyak; Amit Zohar; Andrew Brown; Andros Tjandra; Animesh Sinha; Ann Lee 001; Apoorv Vyas; Bowen Shi; Chih-Yao Ma; Ching-Yao Chuang; David Yan; Dhruv Choudhary; et al. (CoRR, 2024)

DirectorLLM for Human-Centric Video Generation. - Kunpeng Song; Tingbo Hou; Zecheng He; Haoyu Ma; Jialiang Wang 001; Animesh Sinha; Sam S. Tsai; Yaqiao Luo; Xiaoliang Dai; Li Chen; Xide Xia; Peizhao Zhang; et al. (CoRR, 2024)

Adversarial Medical Image With Hierarchical Feature Hiding. - Qingsong Yao; Zecheng He; Yuexiang Li; Yi Lin 009; Kai Ma 002; Yefeng Zheng 001; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2024)

Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts. - Feng Liang; Haoyu Ma; Zecheng He; Tingbo Hou; Ji Hou; Kunpeng Li; Xiaoliang Dai; Felix Juefei-Xu; Samaneh Azadi; Animesh Sinha; Peizhao Zhang; Peter Vajda; et al. (CVPR, 2025)

MoCha: Towards Movie-Grade Talking Character Synthesis. - Cong Wei 001; Bo Sun; Haoyu Ma; Ji Hou; Felix Juefei-Xu; Zecheng He; Xiaoliang Dai; Luxin Zhang; Kunpeng Li; Tingbo Hou; Animesh Sinha; Peter Vajda; et al. (CoRR, 2025)

Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models. - Xu Ma; Peize Sun; Haoyu Ma; Hao Tang; Chih-Yao Ma; Jialiang Wang 001; Kunpeng Li; Xiaoliang Dai; Yujun Shi; Xuan Ju; Yushi Hu; Artsiom Sanakoyeu; et al. (CoRR, 2025)

Populate-A-Scene: Affordance-Aware Human Video Generation. - Mengyi Shan; Zecheng He; Haoyu Ma; Felix Juefei-Xu; Peizhao Zhang; Tingbo Hou; Ching-Yao Chuang (CoRR, 2025)