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08/24/2023
Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities
Spurred by the recent rapid increase in the development and distribution...
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08/14/2023
Can Knowledge Graphs Simplify Text?
Knowledge Graph (KG)-to-Text Generation has seen recent improvements in ...
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05/25/2023
IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks
Backdoor attacks are an insidious security threat against machine learni...
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05/22/2023
G3Detector: General GPT-Generated Text Detector
The burgeoning progress in the field of Large Language Models (LLMs) her...
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05/19/2023
Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation
Modern NLP models are often trained over large untrusted datasets, raisi...
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03/26/2023
Koala: An Index for Quantifying Overlaps with Pre-training Corpora
In very recent years more attention has been placed on probing the role ...
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10/20/2022
Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation?
Previous works mostly focus on either multilingual or multi-domain aspec...
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09/19/2022
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks
Previous works have validated that text generation APIs can be stolen th...
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09/15/2022
Rethinking Round-trip Translation for Automatic Machine Translation Evaluation
A parallel corpus is generally required to automatically evaluate the tr...
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12/05/2021
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark
Nowadays, due to the breakthrough in natural language generation (NLG), ...
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10/30/2021
Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning
Pre-training and then fine-tuning large language models is commonly used...
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09/09/2021
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection
This paper considers the unsupervised domain adaptation problem for neur...
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08/29/2021
Beyond Model Extraction: Imitation Attack for Black-Box NLP APIs
Machine-learning-as-a-service (MLaaS) has attracted millions of users to...
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06/11/2021
Generate, Annotate, and Learn: Generative Models Advance Self-Training and Knowledge Distillation
Semi-Supervised Learning (SSL) has seen success in many application doma...
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05/23/2021
Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs
The advances in pre-trained models (e.g., BERT, XLNET and etc) have larg...
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03/18/2021
Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!
Natural language processing (NLP) tasks, ranging from text classificatio...
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10/06/2020
Scene Graph Modification Based on Natural Language Commands
Structured representations like graphs and parse trees play a crucial ro...
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10/03/2020
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness
It has been demonstrated that hidden representation learned by a deep mo...
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06/25/2020
Towards Differentially Private Text Representations
Most deep learning frameworks require users to pool their local data or ...
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05/03/2020
Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation
This paper introduces Dynamic Programming Encoding (DPE), a new segmenta...
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10/17/2018
Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation
In spite of the recent success of Dialogue Act (DA) classification, the ...
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10/17/2018
Sequence to Sequence Mixture Model for Diverse Machine Translation
Sequence to sequence (SEQ2SEQ) models often lack diversity in their gene...
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06/14/2016
