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Found 4 papers, 2 papers with code
Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs
In this paper, we introduce a new black-box attack vector called the \emph{Sandwich attack}: a multi-language mixture attack, which manipulates state-of-the-art LLMs into generating harmful and misaligned responses.
TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in LLMs through Translation-Assisted Chain-of-Thought Processes
Our results indicate that the TaCo method impresses GPT-4 with an 82\% score for a low-resource language in the Vicuna Benchmark dataset, doubling the performance in contrast to instruction tuning alone.
Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events
Machine learning models are known to be vulnerable to adversarial perturbations in the input domain, causing incorrect predictions.
Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification
The rampant integration of social media in our every day lives and culture has given rise to fast and easier access to the flow of information than ever in human history.
Cultural Vocal Bursts Intensity Prediction
Emotion Recognition
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