activity
20232026
most citedObelix: Mitigating Side-Channels Through Dynamic Obfuscation

17 citations · 23 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2026

uGen: An Agentic Framework for Generating Microarchitectural Attack PoCs

Debopriya Roy Dipta, Thore Tiemann, Eduard Marin +2

Microarchitectural attacks continue to evolve, uncovering new exploitation vectors in modern processors. From a defensive perspective, assessing a system's susceptibility to such a…

cs.CR2026

HPCCFA: Leveraging Hardware Performance Counters for Control Flow Attestation

Claudius Pott, Luca Wilke, Jan Wichelmann +1

Trusted Execution Environments (TEEs) allow the secure execution of code on remote systems without the need to trust their operators. They use static attestation as a central mecha…

cs.CR2025★ 17 cited

Obelix: Mitigating Side-Channels Through Dynamic Obfuscation

Jan Wichelmann, Anja Rabich, Anna P"atschke +1

Trusted execution environments (TEEs) offer hardware-assisted means to protect code and data. However, as shown in numerous results over the years, attackers can use side-channels…

cs.CR2025

SLasH-DSA: Breaking SLH-DSA Using an Extensible End-To-End Rowhammer Framework

Jeremy Boy, Antoon Purnal, Anna Pätschke +2

As quantum computing advances, Post-Quantum Cryptography (PQC) schemes are adopted to replace classical algorithms. Among them is the Stateless Hash-Based Digital Signature Algorit…

cs.CR2025

Zebrafix: Mitigating Memory-Centric Side-Channel Leakage via Interleaving

Anna Pätschke, Jan Wichelmann, Thomas Eisenbarth

Constant-time code has become the de-facto standard for secure cryptographic implementations. However, some memory-based leakage classes such as ciphertext side-channels and silent…

cs.AR2023★ 6 cited

SystemC Model of Power Side-Channel Attacks Against AI Accelerators: Superstition or not?

Andrija Nešković, Saleh Mulhem, Alexander Treff +3

As training artificial intelligence (AI) models is a lengthy and hence costly process, leakage of such a model's internal parameters is highly undesirable. In the case of AI accele…