Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 14 of 14 for “"attacks and defenses"”.
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Adversarial attacks and defenses for generative models
… lying at the intersection of Machine Learning and Security, which studies vulnerabilities of Machine learning models that make them susceptible to attacks. The attacks are inflicted by carefully designing a perturbed input which appears benign, but fools the models to perform in unexpected …
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Cache-based side channels: Modern attacks and defenses
"Security and trustworthiness are key considerations in designing modern processor hardware. It has been shown that, among various data leakage attacks, side channel attacks are one of the most effective and stealthy ones. In a side channel attack, an attacker can steal encryption keys, monitor …
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Privacy Attacks and Defenses under Security Threats in Machine Learning
… adopted across various domains due to its outstanding 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 …
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Physical Layer Data Integrity Attacks and Defenses in Cyber-Physical Systems
… of CPS to physical-layer data integrity attacks and proposes countermeasures to enhance system resilience. Software-based cybersecurity approaches may not be efficient in mitigating threats aimed at the physical layer, leaving CPS particularly susceptible to manipulation through methods …
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Adversarial machine learning in computer vision: attacks and defenses on machine learning models
… are able to directly learn from raw data and can outperform traditional machine learning models. As a result, they have been increasingly used in a variety of application domains such as image classification, natural language processing, and malware detection. However, deep neural networks …
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You share, you leak: Practical side-channel attacks and defenses in modern clouds
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms
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Improving the resilience of cyber-physical systems under strategic adversaries
… system operations by substituting the stability and predictability of fossil fuel based generation with the unreliability and uncertainty of wind and solar power. Rising demand for green energy drives grid operators to integrate sensors, smart meters, and distributed control to compensate for …
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On Identifying and Mitigating Against Vulnerabilities of Machine Learning Models
… applications such as brain circuit analysis and healthcare analysis. The availability of large and informa- tive datasets contributes to the success of ML because such datasets can provide diverse training examples for the model. Because datasets can contain individuals’ private in- formation …
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A systematic analysis of defenses against code reuse attacks
… of the code reuse attack space where facts about attacks and defenses were represented as propositional statements in boolean logic and the possibility of deploying malware was a satisfiability instance. We use the model to analyze the space in two ways: we analyze the defense configurations of a …
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Attack and Defense with Hardware-Aided Security
Riding on recent advances in computing and networking, our society is now experiencing the evolution into the age of information. While the development of these technologies brings great value to our daily life, the lucrative reward from cyber-crimes has also attracted criminals. As computing …
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Developing standard exercises and statistics to measure the impact of cyber defenses
As companies seek protection from cyber attacks, justifying proper levels of investment in cyber security is essential. Like all investments, cyber defense costs must be weighed against their expected benefits. While some cyber investment models exist that can relate costs and benefits, these …
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Dataset for Machine Learning Based Cache Timing Attacks and Mitigation
Cache side-channel attacks have evolved alongside increasingly complex microprocessor architectural designs. The attacks and their prevention mechanisms, such as cache partitioning, OS kernel isolation, and various hardware/operating system enhancements, have similarly progressed. Nonetheless, …
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InjectBench: An Indirect Prompt Injection Benchmarking Framework
… introduces the risk of indirect prompt injection attacks. In such scenarios, an attacker embeds malicious instructions within the retrieved third party data, which when processed by the LLM, can generate harmful and untruthful outputs for an unsuspecting user. Although previous works have explored …
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Interdependent Mission Impact Assessment of an IoT System with Hypergame-Theoretic Attack-Defense Behavior Modeling
… has been explored to evaluate the performance and effectiveness of a mission system, such as enterprise networks with organizational missions and military or tactical mission teams with assigned missions. The key components in such mission systems, including assets, services, tasks, …