Adversarial Attacks and Defense Mechanisms to Improve Robustness of Deep Temporal Point Processes
PulseAugur coverage of Adversarial Attacks and Defense Mechanisms to Improve Robustness of Deep Temporal Point Processes — every cluster mentioning Adversarial Attacks and Defense Mechanisms to Improve Robustness of Deep Temporal Point Processes across labs, papers, and developer communities, ranked by signal.
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LLMs create new security risks for Zero-Trust architectures
Large Language Models (LLMs) are introducing new security vulnerabilities that traditional "Zero-Trust" architectures may not address. Attackers can exploit LLMs through methods like prompt injection to generate persona…
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New benchmark reveals AI agents vulnerable to harmful actions
Researchers have developed a new benchmark called BAD-ACTS to evaluate the robustness of AI agentic systems against adversarial attacks designed to elicit harmful actions. The benchmark includes five distinct agentic sy…
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New temporal editing attack targets online handwriting AI
Researchers have developed a new method for creating adversarial attacks on deep learning models used for online handwriting recognition. Unlike existing spatial perturbation techniques that can introduce visible artifa…
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New convex training method enhances neural network robustness against adversarial attacks
Researchers have developed a novel training method for shallow neural networks that enhances their resilience to adversarial attacks. This technique involves solving a non-convex Lipschitz-regularized training problem b…
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Neural Variability Boosts AI Network Robustness to Attacks
Researchers have explored how neural variability, similar to that seen in biological brains, can enhance the robustness of artificial neural networks. Their study found that introducing structured noise into ANNs can si…
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New AI research targets adversarial attacks on data summarization
Researchers have developed new methods to attack and defend data summarization processes against adversarial perturbations. The study focuses on how altering the similarity structure of data can degrade the quality of s…
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Quantum Computing Explored to Boost AI Adversarial Robustness
A new chapter in the arXiv cs.AI repository explores the intersection of quantum computing and artificial intelligence to enhance adversarial robustness. It details how quantum principles like superposition and entangle…