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08/17/2023
PMET: Precise Model Editing in a Transformer
Model editing techniques modify a minor proportion of knowledge in Large...
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07/11/2023
Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain
Text-to-SQL aims at generating SQL queries for the given natural languag...
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06/20/2023
MuDPT: Multi-modal Deep-symphysis Prompt Tuning for Large Pre-trained Vision-Language Models
Prompt tuning, like CoOp, has recently shown promising vision recognizin...
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05/10/2023
Address Matching Based On Hierarchical Information
There is evidence that address matching plays a crucial role in many are...
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03/09/2023
Dynamic Multi-View Fusion Mechanism For Chinese Relation Extraction
Recently, many studies incorporate external knowledge into character-lev...
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10/23/2022
Span-based joint entity and relation extraction augmented with sequence tagging mechanism
Span-based joint extraction simultaneously conducts named entity recogni...
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09/20/2022
Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks
State-of-the-art generative model-based attacks against image classifier...
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09/09/2022
Multi-Document Scientific Summarization from a Knowledge Graph-Centric View
Multi-Document Scientific Summarization (MDSS) aims to produce coherent ...
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08/18/2022
A Two-Phase Paradigm for Joint Entity-Relation Extraction
An exhaustive study has been conducted to investigate span-based models ...
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08/17/2022
A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search
Textual adversarial attacks expose the vulnerabilities of text classifie...
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08/17/2022
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes
Few-shot named entity recognition (NER) enables us to build a NER system...
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07/11/2022
SummScore: A Comprehensive Evaluation Metric for Summary Quality Based on Cross-Encoder
Text summarization models are often trained to produce summaries that me...
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07/11/2022
Topic-Grained Text Representation-based Model for Document Retrieval
Document retrieval enables users to find their required documents accura...
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07/07/2022
Win-Win Cooperation: Bundling Sequence and Span Models for Named Entity Recognition
For Named Entity Recognition (NER), sequence labeling-based and span-bas...
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12/06/2021
Context-Aware Transfer Attacks for Object Detection
Blackbox transfer attacks for image classifiers have been extensively st...
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10/24/2021
ADC: Adversarial attacks against object Detection that evade Context consistency checks
Deep Neural Networks (DNNs) have been shown to be vulnerable to adversar...
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10/05/2021
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations
When compared to the image classification models, black-box adversarial ...
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08/23/2021
Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency
The success of deep neural networks (DNNs) haspromoted the widespread ap...
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08/19/2021
Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes
Vision systems that deploy Deep Neural Networks (DNNs) are known to be v...
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05/21/2021
Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism
Span-based joint extraction simultaneously conducts named entity recogni...
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11/03/2020
You Do (Not) Belong Here: Detecting DPI Evasion Attacks with Context Learning
As Deep Packet Inspection (DPI) middleboxes become increasingly popular,...
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08/26/2020
Measurement-driven Security Analysis of Imperceptible Impersonation Attacks
The emergence of Internet of Things (IoT) brings about new security chal...
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07/19/2020
Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency
There has been a recent surge in research on adversarial perturbations t...
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01/29/2020
A4 : Evading Learning-based Adblockers
Efforts by online ad publishers to circumvent traditional ad blockers to...
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07/02/2018
Adversarial Perturbations Against Real-Time Video Classification Systems
Recent research has demonstrated the brittleness of machine learning sys...
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05/09/2017
