10 matches found
SynthCTI: LLM-Driven Synthetic CTI Generation to Enhance MITRE Technique Mapping
Cyber Threat Intelligence CTI mining involves extracting structured insights from unstructured threat data, enabling organizations to understand and respond to evolving adversarial behavior. A key task in CTI mining is mapping threat descriptions to MITRE ATT&CK techniques. However, this process...
Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy
Differentially private DP mechanisms are difficult to interpret and calibrate because existing methods for mapping standard privacy parameters to concrete privacy risks -- re-identification, attribute inference, and data reconstruction -- are both overly pessimistic and inconsistent. In this work...
VLAI: a RoBERTa-Based Model for Automated Vulnerability Severity Classification
This paper presents VLAI, a transformer-based model that predicts software vulnerability severity levels directly from text descriptions. Built on RoBERTa, VLAI is fine-tuned on over 600,000 real-world vulnerabilities and achieves over 82% accuracy in predicting severity categories, enabling fast...
New TokenBreak Attack Bypasses AI Moderation with Single-Character Text Changes
Cybersecurity researchers have discovered a novel attack technique called TokenBreak that can be used to bypass a large language model's LLM safety and content moderation guardrails with just a single character change. "The TokenBreak attack targets a text classification model's tokenization...
TokenBreak: Bypassing Text Classification Models through Token Manipulation
Natural Language Processing NLP models are used for text-related tasks such as classification and generation. To complete these tasks, input data is first tokenized from human-readable text into a format the model can understand, enabling it to make inferences and understand context. Text...
This Week in Spring - June 18th, 2024
Hi, Spring fans! Welcome to another installment of This Week in Spring! I've just come from Paris, France, and now I'm in equally beautiful Krakow, Poland, for the amazing Devoxx PL event. We've got a ton of good stuff to dive into, so let's get going! In last week's installment of Spring Tips, I...
Google Unveils RETVec - Gmail's New Defense Against Spam and Malicious Emails
Google has revealed a new multilingual text vectorizer called RETVec short for Resilient and Efficient Text Vectorizer to help detect potentially harmful content such as spam and malicious emails in Gmail. "RETVec is trained to be resilient against character-level manipulations including insertio...
arekit (>=0.21.0 <=0.22.1), arenets (>=0.23.0 <=0.23.1) +49 more potentially affected by CVE-2020-15209 via tensorflow-gpu (>=1.10.1 <=1.15.3)
tensorflow-gpu PYPI version =1.10.1, =0.21.0, =0.23.0, =0.1.0, =0.1.0, =1.0.0, =0.2.3, =0.0.1, =0.0.7, =0.2.0 - keras-textclassification =0.1.6 and more Source cves: CVE-2020-15209 Source advisory: OSV:PYSEC-2020-324...
arekit (>=0.21.0 <=0.22.1), arenets (>=0.23.0 <=0.23.1) +49 more potentially affected by CVE-2020-15202 via tensorflow-gpu (>=1.10.1 <=1.15.3)
tensorflow-gpu PYPI version =1.10.1, =0.21.0, =0.23.0, =0.1.0, =0.1.0, =1.0.0, =0.2.3, =0.0.1, =0.0.7, =0.2.0 - keras-textclassification =0.1.6 and more Source cves: CVE-2020-15202 Source advisory: OSV:GHSA-H6FG-MJXG-HQQ4...
arekit (>=0.21.0 <=0.22.1), arenets (>=0.23.0 <=0.23.1) +49 more potentially affected by CVE-2020-15195 via tensorflow-gpu (>=1.10.1 <=1.15.3)
tensorflow-gpu PYPI version =1.10.1, =0.21.0, =0.23.0, =0.1.0, =0.1.0, =1.0.0, =0.2.3, =0.0.1, =0.0.7, =0.2.0 - keras-textclassification =0.1.6 and more Source cves: CVE-2020-15195 Source advisory: OSV:GHSA-63XM-RX5P-XVQR...