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<strong><font color="#DE3163">SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses</font></strong>
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<font color="008000"><strong>Researchers Highlight How Poisoned LLMs Can Suggest Vulnerable Code</strong></font>
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<font color="#357EC7">SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses</font>
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<font color="#357EC7">KPIR-C: Keyword PIR with Arbitrary Server-side Computation
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<font color="#357EC7">What the Eyes See, the LLMs Miss: Exploiting Human Perception for Adversarial Text Attacks
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<font color="#357EC7">Safeguarding Graph Neural Networks against Topology Inference Attacks
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<font color="#357EC7">Learning Robust and Privacy-Preserving Representations via Information Theory</font>
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<font color="#357EC7">Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence</font>
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<font color="#357EC7">Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses</font>
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<font color="#357EC7">An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection</font>
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<font color="#357EC7">Inf<sup>2</sup>Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks</font>
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<font color="#357EC7">On the Faithfulness of Vision Transformer Explanations</font>
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<font color="#357EC7">Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory</font>
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<font color="#357EC7">DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming</font>
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<font color="#357EC7">Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks</font>
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<font color="#357EC7">Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning Against Attribute Inference Attacks</font>
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<font color="#357EC7">OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization </font>
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<font color="#357EC7">UniCR: Universally Approximated Certified Robustness via Randomized Smoothing</font>
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<font color="#357EC7">Universal 3-Dimensional Perturbations for Blackbox Attacks on Video Recognition Systems</font>
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