.- AI/ML & Security.
.- Towards Explainable Drift Detection and Early Retrain in ML-based Malware Detection Pipelines.
.- InferONNX: Practical and Privacy-preserving Machine Learning Inference using Trusted Execution Environments.
.- Hiding in Plain Sight: On the Robustness of AI-generated code detection.
.- FlexGE: Towards Secure and Flexible Model Partition for Deep Neural Networks.
.- Poster: Exploring the Zero-Shot Potential of Large Language Models for Detecting Algorithmically Generated Domains.
.- Poster: Using Machine Learning to Infer Network Structure from Security Metadata.
.- Android & Patches.
.- More Than You Signed Up For: Exposing Gaps in the Validation of Android's App Signing.
.- An Empirical Study of Multi-Language Security Patches in Open Source Software.
.- Red Light for Security: Uncovering Feature Check and Access Control Gaps in AAOS.
.- Poster: SPECK: From Google Textual Guidelines to Automatic Detection of Android Apps Vulnerabilities.
.- OS & Network.
.- Taming the Linux Memory Allocator for Rapid Prototyping.
.- Linux hurt itself in its confusion! Exploiting Out-of-Memory Killer for Confusion Attacks via Heuristic Manipulation.
.- Overlapping data in network protocols: bridging OS and NIDS reassembly gap.
.- Poster: On the Usage of Kernel Shadow Stacks for User-Level Programs.
.- Referencing your Privileges - A Data-Only Exploit Technique for the Windows Kernel.
.- Resilient Systems.
.- PackHero: A Scalable Graph-based Approach for Efficient Packer Identification.
.- A History of Greed: Practical Symbolic Execution for Ethereum Smart Contracts.
.- FAULTLESS: Flexible and Transparent Fault Protection for Superscalar RISC-V Processors.
.- Poster: Building Confidence in Hardware-based Ransomware Detection through Hardware Performance Counter Event Correlation.
.- Poster: FedBlockParadox - A Framework for Simulating and Securing Decentralized Federated Learning.
