The recent developments in the field of AI and cybersecurity are marked by significant advancements in generative AI applications, proactive deepfake detection, and AI-augmented ethical hacking. The integration of digital twin technology in education is expanding, leveraging low, medium, and high-fidelity models to enhance learning experiences across different educational levels. In cybersecurity, the focus is shifting towards proactive methods for detecting deepfake manipulations, with innovative approaches like dynamic watermarks based on facial features and training-free landmark perceptual watermarks. Additionally, AI is being increasingly utilized to support manual exploitation and privilege escalation tasks in ethical hacking, demonstrating enhanced efficiency and scalability. Noteworthy papers include 'LampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual Watermarks,' which introduces a novel approach to deepfake detection, and 'AI-Augmented Ethical Hacking: A Practical Examination of Manual Exploitation and Privilege Escalation in Linux Environments,' which explores the practical applications of AI in ethical hacking.
Advances in Generative AI and Proactive Deepfake Detection
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Transforming Engineering Education Using Generative AI and Digital Twin Technologies
Detecting Distributed Denial of Service Attacks Using Logistic Regression and SVM Methods
Funhouse Mirror or Echo Chamber? A Methodological Approach to Teaching Critical AI Literacy Through Metaphors
FairAdapter: Detecting AI-generated Images with Improved Fairness
Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach
Somesite I Used To Crawl: Awareness, Agency and Efficacy in Protecting Content Creators From AI Crawlers
An investigation into the performances of the Current state-of-the-art Naive Bayes, Non-Bayesian and Deep Learning Based Classifier for Phishing Detection: A Survey
Visual Counter Turing Test (VCT^2): Discovering the Challenges for AI-Generated Image Detection and Introducing Visual AI Index (V_AI)
Relations, Negations, and Numbers: Looking for Logic in Generative Text-to-Image Models
LampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual Watermarks
AI-Augmented Ethical Hacking: A Practical Examination of Manual Exploitation and Privilege Escalation in Linux Environments
RealSeal: Revolutionizing Media Authentication with Real-Time Realism Scoring
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
MetaphorShare: A Dynamic Collaborative Repository of Open Metaphor Datasets
SoK: Watermarking for AI-Generated Content
Exploring Depth Information for Detecting Manipulated Face Videos