Prediction Inconsistency Helps Achieve Generalizable Detection of Adversarial Examples

Adversarial detection protects models from adversarial attacks by refusing suspicious test samples. However, current detection methods often suffer from weak generalization: their effectiveness tends to degrade significantly when applied to adversarially trained models rather than naturally train...

Vulnerability Management Chaining: an Integrated Framework for Efficient Cybersecurity Risk Prioritization

Cybersecurity teams face an overwhelming vulnerability crisis: with 25,000+ new CVEs disclosed annually, traditional CVSS-based prioritization requires addressing 60% of all vulnerabilities while correctly identifying only 20% of those actually exploited. We propose Vulnerability Management...

SafeGenes: Evaluating the Adversarial Robustness of Genomic Foundation Models

Genomic Foundation Models GFMs, such as Evolutionary Scale Modeling ESM, have demonstrated significant success in variant effect prediction. However, their adversarial robustness remains largely unexplored. To address this gap, we propose SafeGenes: a framework for Secure analysis of genomic...

Security update for ucode-intel

This update for ucode-intel fixes the following issues: Intel CPU Microcode was updated to the 20250512 release bsc1243123 CVE-2024-28956: Exposure of Sensitive Information in Shared Microarchitectural Structures during Transient Execution for some Intel Processors may allow an authenticated user...

SUSE-SU-2025:01651-2 Security update for ucode-intel

This update for ucode-intel fixes the following issues: Intel CPU Microcode was updated to the 20250512 release bsc1243123 - CVE-2024-28956: Exposure of Sensitive Information in Shared Microarchitectural Structures during Transient Execution for some Intel Processors may allow an authenticated us...

Joint Data Hiding and Partial Encryption of Compressive Sensed Streams

The paper proposes a method to secure the Compressive Sensing CS streams. It consists in protecting part of the measurements by a secret key and inserting the code into the rest. The secret key is generated via a cryptographically secure pseudo-random number generator CSPRNG and XORed with the...

USN-7535-1 intel-microcode vulnerabilities

Sander Wiebing and Cristiano Giuffrida discovered that some Intel® Processors did not properly handle data in Shared Microarchitectural Structures during Transient Execution. An authenticated attacker could possibly use this issue to obtain sensitive information. CVE-2024-28956 It was discovered...

Transformers in Protein: a Survey

As protein informatics advances rapidly, the demand for enhanced predictive accuracy, structural analysis, and functional understanding has intensified. Transformer models, as powerful deep learning architectures, have demonstrated unprecedented potential in addressing diverse challenges across...

CVE-2023-41936

Jenkins Google Login Plugin 1.7 and earlier uses a non-constant time comparison function when checking whether the provided and expected token are equal, potentially allowing attackers to use statistical methods to obtain a valid token...

CVE-2023-36483

Authorization bypass can be achieved by session ID prediction in MASmobile Classic Android version 1.16.18 and earlier and MASmobile Classic iOS version 1.7.24 and earlier which allows remote attackers to retrieve sensitive data including customer data, security system status, and event history...

CVE-2022-30935

An authorization bypass in b2evolution allows remote, unauthenticated attackers to predict password reset tokens for any user through the use of a bad randomness function. This allows the attacker to get valid sessions for arbitrary users, and optionally reset their password. Tested and confirmed...

AI/ML for 5G and beyond Cybersecurity

The advancements in communication technology 5G and beyond and global connectivity Internet of Things IoT also come with new security problems that will need to be addressed in the next few years. The threats and vulnerabilities introduced by AI/ML based 5G and beyond IoT systems need to be...

CVE-2022-25368

Spectre BHB is a variant of Spectre-v2 in which malicious code uses the shared branch history stored in the CPU BHB to influence mispredicted branches in the victim's hardware context. Speculation caused by these mispredicted branches can then potentially be used to cause cache allocation, which...

CVE-2012-3006

The Innominate mGuard Smart HW before HW-101130 and BD before BD-101030, mGuard industrial RS, mGuard delta HW before HW-103060 and BD before BD-211010, mGuard PCI, mGuard blade, and EAGLE mGuard appliances with software before 7.5.0 do not use a sufficient source of entropy for private keys, whi...

CVE-2016-3735

Piwigo is image gallery software written in PHP. When a criteria is not met on a host, piwigo defaults to usingmtrand in order to generate password reset tokens. mtrand output can be predicted after recovering the seed used to generate it. This low an unauthenticated attacker to take over an...

Security update for ucode-intel

This update for ucode-intel fixes the following issues: Intel CPU Microcode was updated to the 20250512 release bsc1243123 CVE-2024-28956: Exposure of Sensitive Information in Shared Microarchitectural Structures during Transient Execution for some Intel Processors may allow an authenticated user...

SUSE-SU-2025:01651-1 Security update for ucode-intel

This update for ucode-intel fixes the following issues: Intel CPU Microcode was updated to the 20250512 release bsc1243123 - CVE-2024-28956: Exposure of Sensitive Information in Shared Microarchitectural Structures during Transient Execution for some Intel Processors may allow an authenticated us...

CVE-2019-25061

The randompasswordgenerator aka RandomPasswordGenerator gem through 1.0.0 for Ruby uses Kernelrand to generate passwords, which, due to its cyclic nature, can facilitate password prediction...

A Systematic Review and Taxonomy for Privacy Breach Classification: Trends, Gaps, and Future Directions

In response to the rising frequency and complexity of data breaches and evolving global privacy regulations, this study presents a comprehensive examination of academic literature on the classification of privacy breaches and violations between 2010-2024. Through a systematic literature review, a...

The vulnerability of the Branch Prediction Unit (BPU) in Intel Core Ultra microprogramming systems allows attackers to disclose protected information.

The vulnerability of the Branch Prediction Unit BPU in Intel Core Ultra microprogrammed software processors is related to incorrect initialization of resources. Exploiting this vulnerability can allow attackers to disclose protected information...