2026

crypto-events June 2026

crypto-events@list.inf.unibe.ch

1 participants
2 discussions

Talk announcement: Automating Linux Kernel Security: From Bug Discovery to Exploit Synthesis, by Alessandro Sorniotti (1 July 2026)
by Christian Cachin 16 Jun '26

16 Jun '26

*Date and Location* 1 July 2026, *16:00* Universität Bern, Hauptgebäude, Hochschulstrasse 4, Seminarraum 206 *Speaker* Alessandro Sorniotti IBM Research - Zurich *Title* Automating Linux Kernel Security: From Bug Discovery to Exploit Synthesis *Abstract* This talk presents a high-level view of modern approaches to Linux kernel security, spanning both offensive and defensive perspectives. We outline a pipeline that starts from bug discovery -- leveraging fuzzing and sanitizers -- and progresses through primitive and object analysis toward automated exploit generation (AEG). Key ideas include extracting attacker-controlled inputs via symbolic and concolic techniques, reasoning about bug "capabilities" and systematically matching them with target objects to construct viable exploitation paths. We also briefly discuss how these insights feed into defensive tooling, such as exploitability assessment, bug ranking, and patch assistance, highlighting opportunities for automation across the vulnerability lifecycle. *Brief bio* Alessandro Sorniotti is a Principal Research Scientist working in system security and applied cryptography. His research has spanned operating systems and low-level software security -- covering vulnerability discovery, exploit development, and automated analysis -- as well as applied cryptography and blockchain technologies. In that space, he has worked on protocols and systems for distributed trust, digital assets, and secure transaction processing. More recently, his work has explored automation and data-driven approaches for vulnerability analysis, exploitability assessment, and patching, bridging offensive and defensive security across domains. --- Please note the earlier talk by Judith Senn at 15:00. See you there! Christian Cachin --- Christian Cachin email: christian.cachin(a)unibe.ch Cryptology and Data Security Group web: crypto.unibe.ch/cc Institute of Computer Science tel: +41 31 684 8560 University of Bern Neubrückstrasse 10, CH-3012 Bern, Switzerland

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Talk announcement: Privacy and the Detection of Money Laundering, by Judith Senn (1 July 2026)
by Christian Cachin 16 Jun '26

16 Jun '26

*Date and Location* 1 July 2026, *15:00* Universität Bern, Hauptgebäude, Hochschulstrasse 4, Seminarraum 206 *Speaker* Judith Senn Security and Privacy Lab Universität Innsbruck *Title* Privacy and the Detection of Money Laundering *Abstract* The discussion of payment systems is often framed as a polarised debate between privacy and enforcement against financial crime. While many anti-money laundering mechanisms depend on transaction data to identify suspicious behaviour, payment records can expose sensitive information about individuals and groups. Current detection methods often assume access to detailed transaction data, but it remains unclear which specific attributes are necessary for reliable detection. We address this question experimentally by evaluating two graph-based detectors of money laundering, FraudGT and MEGA-GNN, under different privacy regimes for a common benchmark of transaction data. We compare how coarsening, concealment, and anonymisation of selected transaction attributes affect detection performance. The evaluation considers three settings: testing pre-trained models on privacy-modified data, fine-tuning pre-trained models on privacy-modified data, and training models directly under the corresponding privacy scenario. The results suggest that privacy modifications preserving the transaction graph are largely compatible with money laundering detection. In particular, modifying transaction amounts has little to no effect on detection performance, while timestamp transformations have limited influence. Conversely, modifications that impair the reconstruction of the transaction graph result in a performance drop. This pattern is consistent across both detectors. *Brief bio* Judith Senn is a research assistant in the Security and Privacy Lab at the Universität Innsbruck. Her research focuses on privacy in digital payments and its impact on compliance and performance. --- Please note the later talk by Alessandro Sorniotti at 16:00. See you there! Christian Cachin --- Christian Cachin email: christian.cachin(a)unibe.ch Cryptology and Data Security Group web: crypto.unibe.ch/cc Institute of Computer Science tel: +41 31 684 8560 University of Bern Neubrückstrasse 10, CH-3012 Bern, Switzerland

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