2 citations · 5 across the 16 of their papers we have counts for
5 papers · 1 filter
Agent Meltdowns: The Road to Hell Is Paved with Helpful Agents
Rishi Jha, Harold Triedman, Arkaprabha Bhattacharya +1
Agents operating with computer and Web use inevitably encounter errors: inaccessible webpages, missing files, local and remote misconfigurations, etc. These errors do not thwart ag…
Approximating Language Model Training Data from Weights
John X. Morris, Junjie Oscar Yin, Woojeong Kim +2
Modern language models often have open weights but closed training data. We formalize the problem of data approximation from model weights and propose several baselines and metrics…
Universal Zero-shot Embedding Inversion
Collin Zhang, John X. Morris, Vitaly Shmatikov
Embedding inversion, i.e., reconstructing text given its embedding and black-box access to the embedding encoder, is a fundamental problem in both NLP and security. From the NLP pe…
Adversarial Decoding: Generating Readable Documents for Adversarial Objectives
Collin Zhang, Tingwei Zhang, Vitaly Shmatikov
We design, implement, and evaluate adversarial decoding, a new, generic text generation technique that produces readable documents for different adversarial objectives. Prior metho…
Extracting Prompts by Inverting LLM Outputs
Collin Zhang, John X. Morris, Vitaly Shmatikov
We consider the problem of language model inversion: given outputs of a language model, we seek to extract the prompt that generated these outputs. We develop a new black-box metho…