LLM4MEA: Data-Free Model Extraction Attacks on Sequential Recommenders Via Large Language Models

Recent studies have demonstrated the vulnerability of sequential recommender systems to Model Extraction Attacks MEAs. MEAs collect responses from recommender systems to replicate their functionality, enabling unauthorized deployments and posing critical privacy and security risks. Black-box...

Organizational Adaptation to Generative AI in Cybersecurity: a Systematic Review

Cybersecurity organizations are adapting to GenAI integration through modified frameworks and hybrid operational processes, with success influenced by existing security maturity, regulatory requirements, and investments in human capital and infrastructure. This qualitative research employs...

QualitEye: Public and Privacy-Preserving Gaze Data Quality Verification

Gaze-based applications are increasingly advancing with the availability of large datasets but ensuring data quality presents a substantial challenge when collecting data at scale. It further requires different parties to collaborate, therefore, privacy concerns arise. We propose QualitEye--the...

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning

Privacy-Preserving Federated Learning PPFL is a decentralized machine learning approach where multiple clients train a model collaboratively. PPFL preserves privacy and security of the client's data by not exchanging it. However, ensuring that data at each client is of high quality and ready for...

USB: a Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models

Despite their remarkable achievements and widespread adoption, Multimodal Large Language Models MLLMs have revealed significant security vulnerabilities, highlighting the urgent need for robust safety evaluation benchmarks. Existing MLLM safety benchmarks, however, fall short in terms of data...

IBM Infosphere Information Server Information Disclosure Vulnerability (CNVD-2025-12591)

Infosphere Information Server is an enterprise-class software for data integration and data quality from IBM. A security vulnerability exists in Infosphere Information Server version 11.7. An attacker could exploit the vulnerability to obtain sensitive information...

An Approach for Handling Missing Attribute Values in Attribute-Based Access Control Policy Mining

Attribute-Based Access Control ABAC enables highly expressive and flexible access decisions by considering a wide range of contextual attributes. ABAC policies use logical expressions that combine these attributes, allowing for precise and context-aware control. Algorithms that mine ABAC policies...

CVE-2022-21613

Vulnerability in the Oracle Enterprise Data Quality product of Oracle Fusion Middleware component: Dashboard. Supported versions that are affected are 12.2.1.3.0 and 12.2.1.4.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle...

CVE-2022-21615

Vulnerability in the Oracle Enterprise Data Quality product of Oracle Fusion Middleware component: Dashboard. Supported versions that are affected are 12.2.1.3.0 and 12.2.1.4.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle...

CVE-2022-21612

Vulnerability in the Oracle Enterprise Data Quality product of Oracle Fusion Middleware component: Dashboard. Supported versions that are affected are 12.2.1.3.0 and 12.2.1.4.0. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle...

CVE-2022-21614

Vulnerability in the Oracle Enterprise Data Quality product of Oracle Fusion Middleware component: Dashboard. Supported versions that are affected are 12.2.1.3.0 and 12.2.1.4.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle...

Vulnerabilities fixed in Oracle Hyperion

Oracle has fixed vulnerabilities in several Hyperion products. A malicious party can exploit the vulnerabilities to launch attacks execute attacks that can result in the following categories of damage: Denial-of-Service DoS. Data manipulation. Remote code execution User rights Access to sensitive...

Vulnerabilities fixed in Oracle Fusion Middleware

Vulnerabilities have been fixed in Oracle Fusion Middleware. A malicious party can exploit the vulnerabilities exploit them to carry out attacks that can result in the following categories of damage: Denial-of-Service DoS Remote code execution Administrator/Root privileges Access to sensitive dat...

The Right Way to Enhance CTI with AI (Hint: It's the Data)

Cyber threat intelligence is an effective weapon in the ongoing battle to protect digital assets and infrastructure - especially when combined with AI. But AI is only as good as the data feeding it. Access to unique, underground sources is key. Threat Intelligence offers tremendous value to peopl...

KB5021045 - Description of the security update for SQL Server 2014 SP3 CU4: February 14, 2023

None None...

KB5021128 - Description of the security update for SQL Server 2016 SP3 Azure Connect Feature Pack: February 14, 2023

None None...

KB5021522 - Description of the security update for SQL Server 2022 GDR: February 14, 2023

None None...

KB5021037 - Description of the security update for SQL Server 2014 SP3 GDR: February 14, 2023

None None...

SUSE CVE-2015-0444

Unspecified vulnerability in the Oracle Data Integrator component in Oracle Fusion Middleware 11.1.1.3.0 allows remote attackers to affect confidentiality, integrity, and availability via unknown vectors related to Data Quality based on Trillium, a different vulnerability than CVE-2015-0443,...

CVE-2022-21614

Vulnerability in the Oracle Enterprise Data Quality product of Oracle Fusion Middleware component: Dashboard. Supported versions that are affected are 12.2.1.3.0 and 12.2.1.4.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle...