Papers by Sergey Berezin

2 papers
No offence, Bert - I insult only humans! Multilingual sentence-level attack on toxicity detection networks (2023.findings-emnlp)

Copied to clipboard

Challenge: a new sentence-level attack on toxic detection models is shown to work on seven languages . toxicity detection systems are used to silence the voices of criticism, causing echo chambers .
Approach: They propose a sentence-level attack that adds positive words to a hateful message . they show the attack works on seven languages from three different language families .
Outcome: The proposed attack is shown to work on seven languages from three different language families.
The TIP of the Iceberg: Revealing a Hidden Class of Task-in-Prompt Adversarial Attacks on LLMs (2025.acl-long)

Copied to clipboard

Challenge: cipher decoding, riddles, code execution embedded into model prompts bypass safety safeguards of large language models (LLMs) .
Approach: They introduce a novel class of adversarial jailbreak adversarials on large language models, termed Task-in-Prompt (TIP) attacks.
Outcome: The proposed techniques circumvent safeguards in six state-of-the-art language models, including GPT-4o and LLaMA 3.2, and consistently generate restricted content .

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations