Global ETD Search
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Showing 1 to 4 of 4 for “"model stealing"”.
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Strongly-transferring memorized examples in deep neural networks
… of examples per class. These requirements make model training both time-consuming and expensive, which provides an incentive for adversaries to steal, or copy, other users' models. In this work, we examine a recent defense method called neural network watermarking via memorized examples, where …
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Privacy Attacks and Defenses under Security Threats in Machine Learning
… performance. However, machine learning models exhibit some vulnerabilities against threats in the real world, including privacy risks and security concerns. In terms of privacy risks, malicious users can steal the private information of other users or model owners, including recovering …
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Toward managing catastrophic AI risks
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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In the Shadow of Prompts: Adversarial Attacks and Model Cloning in Large Language Models
<p>Large-language models (LLMs) already power mission critical tasks such as command-and-control chat, satellite ground-station automation, military analytics, and cyber-defense. Since most of these services are offered through application programming interfaces (APIs) that still expose full or …