
Explore the tactics behind fake online accounts, from creation to manipulation, and learn how attackers exploit various vectors to influence the digital landscape at scale.

Explore vulnerabilities in deep learning NLP systems, focusing on word embeddings. Learn to manipulate training data and inject into real-world applications, with emphasis on security implications.

Explore AI-based injection detection using neural networks to reduce false positives in security solutions. Learn about architecture, implementation, and real-world applications.

Explore electronic noses, AI-powered scent detection, and their applications in healthcare, industry, and everyday life. Learn about integrating sensors with the Metaverse using IoT and AR technologies.

Explore innovative ML-driven software productivity tools, their impact on developer efficiency, and industry experiences. Gain insights into code prediction, autocomplete advancements, and future possibilities.

Discover how AI and ML advance exploration of extreme environments like deep oceans and space, focusing on autonomous decision-making, data collection, and spectroscopy techniques.

Explore how data analysis of global litter can inform policy, influence packaging, and inspire personal responsibility using computer vision and machine learning techniques.

Explore the ease of generating synthetic media using neural networks, its implications for information operations, and challenges in detection and attribution.

Explores the potential misuse of GPT-3 for large-scale disinformation campaigns, examining its capabilities to generate convincing fake news and the implications for society and information integrity.

Explore cutting-edge program synthesis techniques for deobfuscation, focusing on intellectual property protection in mobile and embedded systems. Learn about latest advances and practical applications.

Explore a universal XAI translator to evaluate AI-powered security products, bridging research and practice for informed decision-making in the rapidly evolving field of AI security.

Explores attribution fatigue in cybersecurity, examining nation-state hacking, stolen toolchains, and the evolution of cyber threats beyond espionage into active operations.

Explore innovative techniques for detecting AI-generated speech using biological systems, focusing on mice's auditory perception and neural responses to distinguish authentic from synthetic voices.

Explore AI-driven phishing simulation techniques, including neural networks and URL prediction, to enhance cybersecurity defenses against sophisticated email-based attacks.

DeepLocker: AI-powered targeted attacks using deep neural networks for evasive malware. Explores mechanisms, implications, and defenses against AI-weaponized cybercrime.

Explore physical adversarial attacks on object detection systems, focusing on YOLOv3. Learn tactics to overcome challenges in real-world scenarios and understand implications for AI security.

Explore the dangers of deepfakes and learn about an innovative deep learning solution for identifying complex deepfake videos, with a live demonstration of the proposed technology.

Explore OSINT techniques for video analysis in security, focusing on person recognition and adapting to the growing trend of video content in internet information.

Explore self-driving car security with industry experts, covering technology, potential attacks, and defense strategies for this emerging field.

Explore how large-scale neural networks revolutionize cybersecurity, enabling custom explanations of attacker behavior and improved threat detection with limited data. Learn to leverage public models like GPT-3 for security applications.

Dissecting APT attacks on online entertainment companies, revealing espionage motives beyond financial gain. Analyzes 20+ operations since 2018, exposing tactics and implications for data-rich targets.