Detection of Intrusions and Malware, and Vulnerability Assessment, Kartoniert / Broschiert

Klappentext

.- 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.