NYU Abu Dhabi hosted a talk by Prof. Debdeep Mukhopadhyay on the intersection of machine learning and hardware security. The talk covered using ML/DL for side-channel attacks, leakage assessment in crypto-devices, and threats to hardware security primitives. Prof. Mukhopadhyay is a visiting professor at NYU Abu Dhabi and Institute Chair Professor at IIT Kharagpur. Why it matters: The talk highlights the growing importance of hardware security in modern systems and the role of machine learning in both attacking and defending hardware vulnerabilities.
Cristofaro Mune and Niek Timmers presented a seminar on bypassing unbreakable crypto using fault injection on Espressif ESP32 chips. The presentation detailed how the hardware-based Encrypted Secure Boot implementation of the ESP32 SoC was bypassed using a single EM glitch, without knowing the decryption key. This attack exploited multiple hardware vulnerabilities, enabling arbitrary code execution and extraction of plain-text data from external flash. Why it matters: The research highlights critical security vulnerabilities in embedded systems and the potential for fault injection attacks to bypass secure boot mechanisms, necessitating stronger hardware-level security measures.
Professor Mike Scott will present a seminar at the Technology Innovation Institute's Cryptography Research Centre in the UAE. The seminar will focus on the challenges of keeping secrets safe from attackers in the context of cryptography. It will review proposed solutions, discuss use cases, and present a promising new approach. Why it matters: This seminar indicates TII's ongoing research and development efforts in advanced cryptography, a crucial area for secure digital infrastructure in the UAE and beyond.
The National Institute of Standards and Technology (NIST) has been evaluating Post-Quantum Cryptography proposals since 2017. Lattice-based schemes have emerged as efficient candidates for Key Encapsulation Mechanisms (KEM) and Digital Signatures. This talk will cover the core operations within lattice-based schemes and efficient implementation strategies. Why it matters: As quantum computing advances, exploring and standardizing post-quantum cryptography is crucial for maintaining secure communication and data protection in the future.
Dr. Najwa Aaraj from MBZUAI and TII discussed the impact of quantum computers and machine learning on cryptographic algorithms. The talk covered post-quantum cryptographic (PQC) schemes, standardization efforts, and the role of machine learning in advancing cybersecurity solutions. Dr. Aaraj also highlighted the challenges of transitioning current cryptographic systems to quantum-resistant alternatives. Why it matters: As quantum computing advances, understanding and implementing post-quantum cryptography is crucial for maintaining secure communications and data protection in the UAE and globally.
The paper introduces ScoreAdv, a novel approach for generating natural adversarial examples (UAEs) using diffusion models. It incorporates an adversarial guidance mechanism and saliency maps to shift the sampling distribution and inject visual information. Experiments on ImageNet and CelebA datasets demonstrate state-of-the-art attack success rates, image quality, and robustness against defenses.
MBZUAI researchers presented a NeurIPS 2024 Spotlight paper that quantifies AI vulnerability by measuring bits leaked per query. Their formula predicts the minimum queries needed for attacks based on mutual information between model output and attacker's target. Experiments across seven models and three attack types (system-prompt extraction, jailbreaks, relearning) validate the relationship. Why it matters: This work offers a framework to translate UI choices (like exposing log-probs or chain-of-thought) into concrete attack surfaces, informing more secure AI design and deployment in the region.