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08/08/2023
FLIRT: Feedback Loop In-context Red Teaming
Warning: this paper contains content that may be inappropriate or offens...
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05/19/2023
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning
Large Language Models (LLMs) are known to memorize significant portions ...
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05/26/2022
Differentially Private Decoding in Large Language Models
Recent large-scale natural language processing (NLP) systems use a pre-t...
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03/25/2022
Canary Extraction in Natural Language Understanding Models
Natural Language Understanding (NLU) models can be trained on sensitive ...
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02/08/2022
Learnings from Federated Learning in the Real world
Federated Learning (FL) applied to real world data may suffer from sever...
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07/14/2021
An Efficient DP-SGD Mechanism for Large Scale NLP Models
Recent advances in deep learning have drastically improved performance o...
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01/29/2021
ADePT: Auto-encoder based Differentially Private Text Transformation
Privacy is an important concern when building statistical models on data...
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04/08/2020
Self-Attention Gazetteer Embeddings for Named-Entity Recognition
Recent attempts to ingest external knowledge into neural models for name...
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10/19/2016
Learning Determinantal Point Processes in Sublinear Time
We propose a new class of determinantal point processes (DPPs) which can...
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10/05/2016
Decentralized Topic Modelling with Latent Dirichlet Allocation
Privacy preserving networks can be modelled as decentralized networks (e...
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03/08/2016
