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LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?
Specifically, we demonstrate that semantic censorship can be perceived as an undecidable problem, highlighting the inherent challenges in censorship that arise due to LLMs' programmatic and instruction-following capabilities.
Augment then Smooth: Reconciling Differential Privacy with Certified Robustness
Differential privacy and randomized smoothing are effective defenses that provide certifiable guarantees for each of these threats, however, it is not well understood how implementing either defense impacts the other.
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