Benjamin Cramer

21 papers C 2Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Auditory Anomaly Detection using Recurrent Spiking Neural Networks. AICAS Shreya Kshirasagar, Benjamin Cramer, Andre Guntoro, Christian Mayr
2024	J	`jnl`	Emulating insect brains for neuromorphic navigation. CoRR Korbinian Schreiber, Timo Wunderlich, Philipp Spilger, Sebastian Billaudelle, Benjamin Cramer, Yannik Stradmann, Christian Pehle, Eric Müller, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier
2024	J	`jnl`	Signatures of hierarchical temporal processing in the mouse visual system. PLoS Comput. Biol. Lucas Rudelt, Daniel González Marx, F. Paul Spitzner, Benjamin Cramer, Johannes Zierenberg, Viola Priesemann
2022	J	`jnl`	A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware. CoRR Eric Müller, Elias Arnold, Oliver Breitwieser, Milena Czierlinski, Arne Emmel, Jakob Kaiser, Christian Mauch, Sebastian Schmitt, Philipp Spilger, Raphael Stock, Yannik Stradmann, Johannes Weis, Andreas Baumbach, Sebastian Billaudelle, Benjamin Cramer, Falk Leonard Ebert, Julian Göltz, Joscha Ilmberger, Vitali Karasenko, Mitja Kleider, Aron Leibfried, Christian Pehle, Johannes Schemmel
2022	—	`—`	Optimizing Spiking Neuromorphic Networks for Information Processing. Benjamin Cramer
2022	J	`jnl`	Surrogate gradients for analog neuromorphic computing. Proc. Natl. Acad. Sci. USA Benjamin Cramer, Sebastian Billaudelle, Simeon Kanya, Aron Leibfried, Andreas Grübl, Vitali Karasenko, Christian Pehle, Korbinian Schreiber, Yannik Stradmann, Johannes Weis, Johannes Schemmel, Friedemann Zenke
2022	J	`jnl`	The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity. CoRR Christian Pehle, Sebastian Billaudelle, Benjamin Cramer, Jakob Kaiser, Korbinian Schreiber, Yannik Stradmann, Johannes Weis, Aron Leibfried, Eric Müller, Johannes Schemmel
2022	J	`jnl`	The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke
2021	J	`jnl`	Fast and energy-efficient neuromorphic deep learning with first-spike times. Nat. Mach. Intell. Julian Göltz, Laura Kriener, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Benjamin Cramer, Dominik Dold, Ákos F. Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
2021	J	`jnl`	Structural plasticity on an accelerated analog neuromorphic hardware system. Neural Networks Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici, Korbinian Schreiber, David Kappel, Johannes Schemmel, Karlheinz Meier
2020	J	`jnl`	Correction to: Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System. J. Signal Process. Syst. Andreas Grübl, Sebastian Billaudelle, Benjamin Cramer, Vitali Karasenko, Johannes Schemmel
2020	C	`conf`	Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. ISCAS Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos Ferenc Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier
2020	J	`jnl`	Spiking neuromorphic chip learns entangled quantum states. CoRR Stefanie Czischek, Andreas Baumbach, Sebastian Billaudelle, Benjamin Cramer, Lukas Kades, Jan M. Pawlowski, Markus K. Oberthaler, Johannes Schemmel, Mihai A. Petrovici, Thomas Gasenzer, Martin Gärttner
2020	J	`jnl`	Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate. CoRR Benjamin Cramer, Sebastian Billaudelle, Simeon Kanya, Aron Leibfried, Andreas Grübl, Vitali Karasenko, Christian Pehle, Korbinian Schreiber, Yannik Stradmann, Johannes Weis, Johannes Schemmel, Friedemann Zenke
2020	J	`jnl`	Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System. CoRR Andreas Grübl, Sebastian Billaudelle, Benjamin Cramer, Vitali Karasenko, Johannes Schemmel
2020	J	`jnl`	Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System. J. Signal Process. Syst. Andreas Grübl, Sebastian Billaudelle, Benjamin Cramer, Vitali Karasenko, Johannes Schemmel
2020	C	`conf`	Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. ISCAS Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos Ferenc Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier
2019	J	`jnl`	Control of criticality and computation in spiking neuromorphic networks with plasticity. CoRR Benjamin Cramer, David Stöckel, Markus Kreft, Johannes Schemmel, Karlheinz Meier, Viola Priesemann
2019	J	`jnl`	Structural plasticity on an accelerated analog neuromorphic hardware system. CoRR Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici, Korbinian Schreiber, David Kappel, Johannes Schemmel, Karlheinz Meier
2019	J	`jnl`	The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks. CoRR Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke
2019	J	`jnl`	Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate. CoRR Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos F. Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier

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.