Sadaf Md. Halim

16 papers A* 2B 3C 1Journal 3Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Fairness-Aware Active Online Learning with Changing Environments. ICDE Sadaf Md. Halim, Chen Zhao, Xintao Wu, Latifur Khan, Christan Earl Grant, Feng Chen
2025	—	`conf`	Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation. ACL (Findings) Sadaf Md. Halim, Chen Zhao, Xintao Wu, Latifur Khan, Christan Grant, Fariha Ishrat Rahman, Feng Chen
2025	C	`conf`	MC3G: Model Agnostic Causally Constrained Counterfactual Generation. NeSy Sopam Dasgupta, Sadaf Md. Halim, Joaquín Arias, Elmer Salazar, Gopal Gupta
2025	J	`jnl`	MC3G: Model Agnostic Causally Constrained Counterfactual Generation. CoRR Sopam Dasgupta, Sadaf Md. Halim, Joaquín Arias, Elmer Salazar, Gopal Gupta
2025	J	`jnl`	P2C: Path to Counterfactuals. CoRR Sopam Dasgupta, Sadaf Md. Halim, Joaquín Arias, Elmer Salazar, Gopal Gupta
2024	B	`conf`	ALERT: A Framework for Efficient Extraction of Attack Techniques from Cyber Threat Intelligence Reports Using Active Learning. DBSec Fariha Ishrat Rahman, Sadaf Md. Halim, Anoop Singhal, Latifur Khan
2024	A*	`conf`	Handling Non-IID Data in Federated Learning using Metaheuristic Optimization Techniques. ICDM Amin Birashk, Sadaf Md. Halim, Latifur Khan
2023	—	`conf`	A Transparent Blockchain-Based College Admissions Platform. SmartCloud Latifur Khan, Bhavani Thuraisingham, Sadaf Md. Halim
2023	J	`jnl`	An Automated Vulnerability Detection Framework for Smart Contracts. CoRR Feng Mi, Chen Zhao, Zhuoyi Wang, Sadaf Md. Halim, Xiaodi Li, Zhouxiang Wu, Latifur Khan, Bhavani Thuraisingham
2023	—	`conf`	Dual Contrastive Learning Framework for Incremental Text Classification. EMNLP (Findings) Yigong Wang, Zhuoyi Wang, Yu Lin, Jinghui Guo, Sadaf Md. Halim, Latifur Khan
2023	—	`conf`	Securing Smart Vehicles Through Federated Learning. FPS (1) Sadaf Md. Halim, Md Delwar Hossain, Latifur Khan, Anoop Singhal, Hiroyuki Inoue, Hideya Ochiai, Kevin W. Hamlen, Youki Kadobayashi
2023	—	`conf`	The Design of an Ontology for ATT&CK and its Application to Cybersecurity. CODASPY Khandakar Ashrafi Akbar, Sadaf Md. Halim, Anoop Singhal, Basel Abdeen, Latifur Khan, Bhavani Thuraisingham
2023	B	`conf`	WokeGPT: Improving Counterspeech Generation Against Online Hate Speech by Intelligently Augmenting Datasets Using a Novel Metric. IJCNN Sadaf Md. Halim, Saquib Irtiza, Yibo Hu, Latifur Khan, Bhavani Thuraisingham
2022	—	`conf`	A Federated Approach for Learning from Electronic Health Records. BigDataSecurity/HPSC/IDS Sadaf Md. Halim, Latifur Khan, Kevin W. Hamlen, Bhavani Thuraisingham, Md Delwar Hossain
2022	B	`conf`	Knowledge Mining in Cybersecurity: From Attack to Defense. DBSec Khandakar Ashrafi Akbar, Sadaf Md. Halim, Yibo Hu, Anoop Singhal, Latifur Khan, Bhavani Thuraisingham
2020	—	`conf`	Next - Location Prediction Using Federated Learning on a Blockchain. CogMI Sadaf Md. Halim, Latifur Khan, Bhavani Thuraisingham

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.