Salvatore Barone

25 papers B 2C 3Misc 4Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OpRA: Optimizing Resiliency Assessment for Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Nicolò Bellarmino, Salvatore Barone, Salvatore Pappalardo, Alberto Bosio, Riccardo Cantoro
2026	J	`jnl`	Reliability analysis of hardware accelerators for decision tree-based classifier systems. Future Gener. Comput. Syst. Mario Barbareschi, Salvatore Barone, Alberto Bosio, Antonio Emmanuele
2025	C	`conf`	Automatic generation of input-aware approximate arithmetic circuits. DDECS Mario Barbareschi, Salvatore Barone, Alberto Bosio, Bastien Deveautour, Ali Piri, Marcello Traiola
2025	C	`conf`	Designing Energy-Efficient Approximate Circuits for the FPGA Technology. DSD Mario Barbareschi, Salvatore Barone, Nicola Mazzocca, Alberto Moriconi
2025	J	`jnl`	Investigating the Resilience Source of Classification Systems for Approximate Computing Techniques. IEEE Trans. Emerg. Top. Comput. Mario Barbareschi, Salvatore Barone
2024	B	`conf`	A comprehensive evaluation of interrupt measurement techniques for predictability in safety-critical systems. ARES Daniele Lombardi, Mario Barbareschi, Salvatore Barone, Valentina Casola
2024	—	`conf`	Error Resiliency and Adversarial Robustness in Convolutional Neural Networks: An Empirical Analysis. IFIPIoT (1) Mario Barbareschi, Salvatore Barone, Valentina Casola, Salvatore Della Torca
2024	C	`conf`	Exploiting Functional Approximation on Decision-Tree Based Multiple Classifier Systems. VLSI-SoC Mario Barbareschi, Salvatore Barone, Antonio Emmanuele, Nicola Mazzocca
2024	J	`jnl`	FPGA approximate logic synthesis through catalog-based AIG-rewriting technique. J. Syst. Archit. Mario Barbareschi, Salvatore Barone, Nicola Mazzocca, Alberto Moriconi
2024	Misc	`conf`	Ineffectiveness of Digital Transformations for Detecting Adversarial Attacks Against Quantized and Approximate CNNs. CSR Salvatore Barone, Valentina Casola, Salvatore Della Torca
2023	J	`jnl`	A Catalog-Based AIG-Rewriting Approach to the Design of Approximate Components. IEEE Trans. Emerg. Top. Comput. Mario Barbareschi, Salvatore Barone, Nicola Mazzocca, Alberto Moriconi
2023	B	`conf`	Automatic Test Generation to Improve Scrum for Safety Agile Methodology. ARES Mario Barbareschi, Salvatore Barone, Valentina Casola, Salvatore Della Torca, Daniele Lombardi
2023	—	`conf`	Input-aware accuracy characterization for approximate circuits. DSN-W Ali Piri, Salvatore Pappalardo, Salvatore Barone, Mario Barbareschi, Bastien Deveautour, Marcello Traiola, Ian O'Connor, Alberto Bosio
2023	Misc	`conf`	Special Session: Approximation and Fault Resiliency of DNN Accelerators. VTS Mohammad Hasan Ahmadilivani, Mario Barbareschi, Salvatore Barone, Alberto Bosio, Masoud Daneshtalab, Salvatore Della Torca, Gabriele Gavarini, Maksim Jenihhin, Jaan Raik, Annachiara Ruospo, Ernesto Sánchez, Mahdi Taheri
2023	J	`jnl`	Special Session: Approximation and Fault Resiliency of DNN Accelerators. CoRR Mohammad Hasan Ahmadilivani, Mario Barbareschi, Salvatore Barone, Alberto Bosio, Masoud Daneshtalab, Salvatore Della Torca, Gabriele Gavarini, Maksim Jenihhin, Jaan Raik, Annachiara Ruospo, Ernesto Sánchez, Mahdi Taheri
2023	—	`conf`	Timing Behavior Characterization of Critical Real-Time Systems through Hybrid Timing Analysis. ICSRS Salvatore Barone, Valentina Casola, Salvatore Della Torca, Daniele Lombardi
2022	J	`jnl`	A Genetic-algorithm-based Approach to the Design of DCT Hardware Accelerators. ACM J. Emerg. Technol. Comput. Syst. Mario Barbareschi, Salvatore Barone, Alberto Bosio, Jie Han, Marcello Traiola
2022	—	`conf`	A Memory Protection Strategy for Resource Constrained Devices in Safety Critical Applications. ICSRS Mario Barbareschi, Salvatore Barone, Valentina Casola, Pasquale Montone, Alberto Moriconi
2022	J	`jnl`	Scrum for safety: an agile methodology for safety-critical software systems. Softw. Qual. J. Mario Barbareschi, Salvatore Barone, Riccardo Carbone, Valentina Casola
2021	J	`jnl`	Advancing synthesis of decision tree-based multiple classifier systems: an approximate computing case study. Knowl. Inf. Syst. Mario Barbareschi, Salvatore Barone, Nicola Mazzocca
2021	—	`—`	Designing Efficient Computing Systems: the Approximate-Computing Breakthrough. Salvatore Barone
2021	Misc	`conf`	Enforcing Mutual Authentication and Confidentiality in Wireless Sensor Networks Using Physically Unclonable Functions: A Case Study. QUATIC Mario Barbareschi, Salvatore Barone, Alfonso Fezza, Erasmo La Montagna
2021	J	`jnl`	Multi-Objective Application-Driven Approximate Design Method. IEEE Access Salvatore Barone, Marcello Traiola, Mario Barbareschi, Alberto Bosio
2021	Misc	`conf`	Scrum for Safety: Agile Development in Safety-Critical Software Systems. QUATIC Riccardo Carbone, Salvatore Barone, Mario Barbareschi, Valentina Casola
2019	—	`conf`	Efficient Reed-Muller Implementation for Fuzzy Extractor Schemes. DTIS Mario Barbareschi, Salvatore Barone, Antonino Mazzeo, Nicola Mazzocca

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.