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Found 7 papers, 4 papers with code
ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs
In this paper, we propose a novel ASCII art-based jailbreak attack and introduce a comprehensive benchmark Vision-in-Text Challenge (ViTC) to evaluate the capabilities of LLMs in recognizing prompts that cannot be solely interpreted by semantics.
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
Our results show that SafeDecoding significantly reduces the attack success rate and harmfulness of jailbreak attacks without compromising the helpfulness of responses to benign user queries.
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models
Moreover, we show that LLMs endowed with stronger reasoning capabilities exhibit higher susceptibility to BadChain, exemplified by a high average attack success rate of 97. 0% across the six benchmark tasks on GPT-4.
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning
Our results show that the global model learned with Brave in the presence of adversaries achieves comparable classification accuracy to a global model trained in the absence of any adversary.
Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications
Successful exploits of the identified vulnerabilities result in the users receiving responses tailored to the intent of a threat initiator.
MDTD: A Multi Domain Trojan Detector for Deep Neural Networks
An adversary carrying out a backdoor attack embeds a predefined perturbation called a trigger into a small subset of input samples and trains the DNN such that the presence of the trigger in the input results in an adversary-desired output class.
A Chinese Multi-type Complex Questions Answering Dataset over Wikidata
We finally analyze the performance of SOTA KBQA models on this dataset and identify the challenges facing Chinese KBQA.
