Fangzhou Wu - RankMe

23 papers B 3Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Randomization Boosts KV Caching, Learning Balances Query Load: A Joint Perspective. CoRR Fangzhou Wu, Sandeep Silwal, Qiuyi Zhang
2025	J	`jnl`	Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving. CoRR Fangzhou Wu, Sandeep Silwal
2024	J	`jnl`	A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems. CoRR Fangzhou Wu, Ning Zhang, Somesh Jha, Patrick D. McDaniel, Chaowei Xiao
2024	J	`jnl`	FATH: Authentication-based Test-time Defense against Indirect Prompt Injection Attacks. CoRR Jiongxiao Wang, Fangzhou Wu, Wendi Li, Jinsheng Pan, G. Edward Suh, Z. Morley Mao, Muhao Chen, Chaowei Xiao
2024	J	`jnl`	System-Level Defense against Indirect Prompt Injection Attacks: An Information Flow Control Perspective. CoRR Fangzhou Wu, Ethan Cecchetti, Chaowei Xiao
2024	J	`jnl`	WIPI: A New Web Threat for LLM-Driven Web Agents. CoRR Fangzhou Wu, Shutong Wu, Yulong Cao, Chaowei Xiao
2023	J	`jnl`	DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions. CoRR Fangzhou Wu, Xiaogeng Liu, Chaowei Xiao
2023	J	`jnl`	Exploring the Limits of ChatGPT in Software Security Applications. CoRR Fangzhou Wu, Qingzhao Zhang, Ati Priya Bajaj, Tiffany Bao, Ning Zhang, Ruoyu Wang, Chaowei Xiao
2023	B	`conf`	Reliability and Latency Analysis of Sliding Network Coding With Re-Transmission. WCNC Fangzhou Wu, Zhiyuan Tan, Huiying Zhu, Pengpeng Dong
2022	J	`jnl`	Reliability and Latency Analysis of Sliding Network Coding With Re-Transmission. CoRR Fangzhou Wu, Zhiyuan Tan, Huiying Zhu, Pengpeng Dong
2022	J	`jnl`	Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation. CoRR Xiaogeng Liu, Haoyu Wang, Yechao Zhang, Fangzhou Wu, Shengshan Hu
2021	J	`jnl`	Computation Over Multi-Access Channels: Multi-Hop Implementation and Resource Allocation. IEEE Trans. Commun. Fangzhou Wu, Li Chen, Nan Zhao, Yunfei Chen, F. Richard Yu, Guo Wei
2020	J	`jnl`	Latency Optimization for Coded Computation Straggled by Wireless Transmission. IEEE Wirel. Commun. Lett. Fangzhou Wu, Li Chen
2020	B	`conf`	Multi-Layer Function Computation in Disorganized Wireless Networks. WCNC Fangzhou Wu, Li Chen, Guo Wei
2020	J	`jnl`	NOMA-Enhanced Computation Over Multi-Access Channels. IEEE Trans. Wirel. Commun. Fangzhou Wu, Li Chen, Nan Zhao, Yunfei Chen, F. Richard Yu, Guo Wei
2019	J	`jnl`	Computation Over Wide-Band Multi-Access Channels: Achievable Rates Through Sub-Function Allocation. IEEE Trans. Wirel. Commun. Fangzhou Wu, Li Chen, Nan Zhao, Yunfei Chen, F. Richard Yu, Guo Wei
2019	J	`jnl`	Computing and Communicating Functions in Disorganized Wireless Networks. CoRR Fangzhou Wu, Li Chen, Nan Zhao, Yunfei Chen, F. Richard Yu, Guo Wei
2019	B	`conf`	Sub-Function Allocation for Computation over Wide-Band MAC. WCNC Fangzhou Wu, Li Chen, Guo Wei
2019	—	`conf`	Sub-Function Superposition for Computation Over NOMA. ICC Workshops Fangzhou Wu, Li Chen, Guo Wei
2018	J	`jnl`	Computation Over NOMA: Improved Achievable Rate Through Sub-Function Superposition. CoRR Fangzhou Wu, Li Chen, Nan Zhao, Yunfei Chen, F. Richard Yu, Guo Wei
2018	J	`jnl`	Computation over Wide-Band MAC: Improved Achievable Rate through Sub-Function Allocation. CoRR Fangzhou Wu, Li Chen, Nan Zhao, Yunfei Chen, F. Richard Yu, Guo Wei
2018	J	`jnl`	Reversible storage of entangled two-mode wavepacket based on electromagnetically induced transparency. Quantum Inf. Process. Fangzhou Wu, Tianhui Qiu, Guojian Yang
2015	J	`jnl`	Generation and stabilization of entanglement in a cascaded atoms-cavity system. Quantum Inf. Process. Min Xie, Fangzhou Wu, Peng Wu, Guojian Yang

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.