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Found 5 papers, 5 papers with code
Hard-Label Cryptanalytic Extraction of Neural Network Models
However, this goal is not achieved when neural networks operate under a hard-label setting where the raw output is inaccessible.
JailbreakEval: An Integrated Toolkit for Evaluating Jailbreak Attempts Against Large Language Models
Jailbreak attacks aim to induce Large Language Models (LLMs) to generate harmful responses for forbidden instructions, presenting severe misuse threats to LLMs.
Have You Merged My Model? On The Robustness of Large Language Model IP Protection Methods Against Model Merging
Model merging is a promising lightweight model empowerment technique that does not rely on expensive computing devices (e. g., GPUs) or require the collection of specific training data.
FigStep: Jailbreaking Large Vision-language Models via Typographic Visual Prompts
Ensuring the safety of artificial intelligence-generated content (AIGC) is a longstanding topic in the artificial intelligence (AI) community, and the safety concerns associated with Large Language Models (LLMs) have been widely investigated.
Bounds and Constructions for Linear Locally Repairable Codes over Binary Fields
For binary $[n, k, d]$ linear locally repairable codes (LRCs), two new upper bounds on $k$ are derived.
Information Theory Information Theory
