Yanting Wang - RankMe

17 papers A* 4Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EnsembleSHAP: Faithful and Certifiably Robust Attribution for Random Subspace Method. CoRR Yanting Wang, Jinyuan Jia
2026	J	`jnl`	PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses. CoRR Chenlong Yin, Runpeng Geng, Yanting Wang, Jinyuan Jia
2025	J	`jnl`	AttnTrace: Attention-based Context Traceback for Long-Context LLMs. CoRR Yanting Wang, Runpeng Geng, Ying Chen, Jinyuan Jia
2025	J	`jnl`	PISanitizer: Preventing Prompt Injection to Long-Context LLMs via Prompt Sanitization. CoRR Runpeng Geng, Yanting Wang, Chenlong Yin, Minhao Cheng, Ying Chen, Jinyuan Jia
2025	J	`jnl`	PIShield: Detecting Prompt Injection Attacks via Intrinsic LLM Features. CoRR Wei Zou, Yupei Liu, Yanting Wang, Ying Chen, Neil Gong, Jinyuan Jia
2025	J	`jnl`	SecInfer: Preventing Prompt Injection via Inference-time Scaling. CoRR Yupei Liu, Yanting Wang, Yuqi Jia, Jinyuan Jia, Neil Zhenqiang Gong
2025	J	`jnl`	TASO: Jailbreak LLMs via Alternative Template and Suffix Optimization. CoRR Yanting Wang, Runpeng Geng, Jinghui Chen, Minhao Cheng, Jinyuan Jia
2025	A*	`conf`	TracLLM: A Generic Framework for Attributing Long Context LLMs. USENIX Security Symposium Yanting Wang, Wei Zou, Runpeng Geng, Jinyuan Jia
2025	J	`jnl`	TracLLM: A Generic Framework for Attributing Long Context LLMs. CoRR Yanting Wang, Wei Zou, Runpeng Geng, Jinyuan Jia
2025	A*	`conf`	TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning. AAAI Yupei Liu, Yanting Wang, Jinyuan Jia
2025	J	`jnl`	TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning. CoRR Yupei Liu, Yanting Wang, Jinyuan Jia
2025	J	`jnl`	UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation. CoRR Runpeng Geng, Yanting Wang, Ying Chen, Jinyuan Jia
2024	A*	`conf`	FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models. SP Yanting Wang, Wei Zou, Jinyuan Jia
2024	J	`jnl`	FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models. CoRR Yanting Wang, Wei Zou, Jinyuan Jia
2024	A*	`conf`	MMCert: Provable Defense Against Adversarial Attacks to Multi-Modal Models. CVPR Yanting Wang, Hongye Fu, Wei Zou, Jinyuan Jia
2024	J	`jnl`	MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models. CoRR Yanting Wang, Hongye Fu, Wei Zou, Jinyuan Jia
2024	J	`jnl`	TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models. CoRR Yuzhou Nie, Yanting Wang, Jinyuan Jia, Michael J. De Lucia, Nathaniel D. Bastian, Wenbo Guo, Dawn Song

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.