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06/20/2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
Generative Pre-trained Transformer (GPT) models have exhibited exciting ...
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05/20/2023
Can Public Large Language Models Help Private Cross-device Federated Learning?
We study (differentially) private federated learning (FL) of language mo...
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04/13/2023
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study
Large decoder-only language models (LMs) can be largely improved in term...
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07/21/2022
FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data
Federated learning (FL) provides an effective paradigm to train machine ...
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05/03/2022
SemAttack: Natural Textual Attacks via Different Semantic Spaces
Recent studies show that pre-trained language models (LMs) are vulnerabl...
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02/08/2022
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models
Pre-trained language models (LMs) are shown to easily generate toxic lan...
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02/03/2022
Certifying Out-of-Domain Generalization for Blackbox Functions
Certifying the robustness of model performance under bounded data distri...
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11/04/2021
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models
Large-scale pre-trained language models have achieved tremendous success...
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09/10/2021
Counterfactual Adversarial Learning with Representation Interpolation
Deep learning models exhibit a preference for statistical fitting over l...
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06/12/2021
Incorporating External POS Tagger for Punctuation Restoration
Punctuation restoration is an important post-processing step in automati...
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03/20/2021
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation
Recent success of deep neural networks (DNNs) hinges on the availability...
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10/05/2020
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
Large-scale language models such as BERT have achieved state-of-the-art ...
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04/07/2020
Towards Evaluating the Robustness of Chinese BERT Classifiers
Recent advances in large-scale language representation models such as BE...
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02/28/2020
End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines
As machine learning (ML) being applied to many mission-critical scenario...
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12/22/2019
AdvCodec: Towards A Unified Framework for Adversarial Text Generation
While there has been great interest in generating imperceptible adversar...
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08/22/2019
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms
Given a data set D containing millions of data points and a data consume...
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02/27/2019
