b'Tianwei Zhang'

research

∙ 06/07/2023

Extracting Cloud-based Model with Prior Knowledge

Machine Learning-as-a-Service, a pay-as-you-go business pattern, is wide...

0 Shiqian Zhao, et al. ∙

research

∙ 05/15/2023

Text Classification via Large Language Models

Despite the remarkable success of large-scale Language Models (LLMs) suc...

0 Xiaofei Sun, et al. ∙

research

∙ 04/20/2023

GPT-NER: Named Entity Recognition via Large Language Models

Despite the fact that large-scale Language Models (LLM) have achieved SO...

0 Shuhe Wang, et al. ∙

research

∙ 03/25/2023

Backdoor Attacks with Input-unique Triggers in NLP

Backdoor attack aims at inducing neural models to make incorrect predict...

0 Xukun Zhou, et al. ∙

research

∙ 03/02/2023

Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication

Training Graph Neural Networks (GNNs) on large graphs is challenging due...

0 Meng Zhang, et al. ∙

research

∙ 02/27/2023

Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks

Bit-flip attacks (BFAs) have attracted substantial attention recently, i...

0 Jialai Wang, et al. ∙

research

∙ 02/23/2023

Smaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding

Deep hiding, concealing secret information using Deep Neural Networks (D...

0 Han Li, et al. ∙

research

∙ 12/22/2022

Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing

Transforming off-the-shelf deep neural network (DNN) models into dynamic...

0 Tian Dong, et al. ∙

research

∙ 12/05/2022

GNN-SL: Sequence Labeling Based on Nearest Examples via GNN

To better handle long-tail cases in the sequence labeling (SL) task, in ...

0 Shuhe Wang, et al. ∙

research

∙ 12/03/2022

Efficiency Boosting of Secure Cross-platform Recommender Systems over Sparse Data

Fueled by its successful commercialization, the recommender system (RS) ...

0 Hao Ren, et al. ∙

research

∙ 11/24/2022

A Benchmark of Long-tailed Instance Segmentation with Noisy Labels (Short Version)

In this paper, we consider the instance segmentation task on a long-tail...

0 Guanlin Li, et al. ∙

research

∙ 10/16/2022

New Secure Sparse Inner Product with Applications to Machine Learning

Sparse inner product (SIP) has the attractive property of overhead being...

0 Guowen Xu, et al. ∙

research

∙ 10/16/2022

VerifyML: Obliviously Checking Model Fairness Resilient to Malicious Model Holder

In this paper, we present VerifyML, the first secure inference framework...

0 Guowen Xu, et al. ∙

research

∙ 10/02/2022

Saving the Limping: Fault-tolerant Quadruped Locomotion via Reinforcement Learning

Quadruped locomotion now has acquired the skill to traverse or even spri...

0 Dikai Liu, et al. ∙

research

∙ 09/21/2022

Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms

3D human pose and shape estimation (a.k.a. "human mesh recovery") has ac...

2 Hui En Pang, et al. ∙

research

∙ 09/10/2022

Cache Refinement Type for Side-Channel Detection of Cryptographic Software

Cache side-channel attacks exhibit severe threats to software security a...

0 Ke Jiang, et al. ∙

research

∙ 07/11/2022

A Secure Fingerprinting Framework for Distributed Image Classification

The deep learning (DL) technology has been widely used for image classif...

0 Guowen Xu, et al. ∙

research

∙ 07/11/2022

SIMC 2.0: Improved Secure ML Inference Against Malicious Clients

In this paper, we study the problem of secure ML inference against a mal...

0 Guowen Xu, et al. ∙

research

∙ 07/11/2022

Hercules: Boosting the Performance of Privacy-preserving Federated Learning

In this paper, we address the problem of privacy-preserving federated ne...

0 Guowen Xu, et al. ∙

research

∙ 07/11/2022

Privacy-preserving Decentralized Deep Learning with Multiparty Homomorphic Encryption

Decentralized deep learning plays a key role in collaborative model trai...

0 Guowen Xu, et al. ∙

research

∙ 05/24/2022

Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision

Deep learning (DL) shows its prosperity in a wide variety of fields. The...

0 Wei Gao, et al. ∙

research

∙ 05/24/2022

Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization

Adversarial training (AT) has proven to be one of the most effective way...

0 Shudong Zhang, et al. ∙

research

∙ 04/07/2022

ShiftNAS: Towards Automatic Generation of Advanced Mulitplication-Less Neural Networks

Multiplication-less neural networks significantly reduce the time and en...

0 Xiaoxuan Lou, et al. ∙

research

∙ 03/31/2022

kNN-NER: Named Entity Recognition with Nearest Neighbor Search

Inspired by recent advances in retrieval augmented methods in NLP <cit.>...

0 Shuhe Wang, et al. ∙

research

∙ 03/07/2022

Whole-Body Control for Velocity-Controlled Mobile Collaborative Robots Using Coupling Dynamic Movement Primitives

In this paper, we propose a unified whole-body control framework for vel...

0 Zhangjie Tu, et al. ∙

research

∙ 03/06/2022

RGB-D SLAM in Indoor Planar Environments with Multiple Large Dynamic Objects

This work presents a novel dense RGB-D SLAM approach for dynamic planar ...

0 Ran Long, et al. ∙

research

∙ 03/02/2022

Clean-Annotation Backdoor Attack against Lane Detection Systems in the Wild

We present the first backdoor attack against the lane detection systems ...

3 Xingshuo Han, et al. ∙

research

∙ 02/14/2022

Threats to Pre-trained Language Models: Survey and Taxonomy

Pre-trained language models (PTLMs) have achieved great success and rema...

0 Shangwei Guo, et al. ∙

research

∙ 01/20/2022

Watermarking Pre-trained Encoders in Contrastive Learning

Contrastive learning has become a popular technique to pre-train image e...

0 Yutong Wu, et al. ∙

research

∙ 12/15/2021

Faster Nearest Neighbor Machine Translation

kNN based neural machine translation (kNN-MT) has achieved state-of-the-...

0 Shuhe Wang, et al. ∙

research

∙ 12/10/2021

Protecting Your NLG Models with Semantic and Robust Watermarks

Natural language generation (NLG) applications have gained great popular...

0 Tao Xiang, et al. ∙

research

∙ 11/29/2021

A General Framework for Defending Against Backdoor Attacks via Influence Graph

In this work, we propose a new and general framework to defend against b...

0 Xiaofei Sun, et al. ∙

research

∙ 11/15/2021

Triggerless Backdoor Attack for NLP Tasks with Clean Labels

Backdoor attacks pose a new threat to NLP models. A standard strategy to...

0 Leilei Gan, et al. ∙

research

∙ 10/17/2021

GNN-LM: Language Modeling based on Global Contexts via GNN

Inspired by the notion that “to copy is easier than to memorize“, in thi...

0 Yuxian Meng, et al. ∙

research

∙ 10/07/2021

Fingerprinting Multi-exit Deep Neural Network Models via Inference Time

Transforming large deep neural network (DNN) models into the multi-exit ...

0 Tian Dong, et al. ∙

research

∙ 10/06/2021

BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models

Pre-trained Natural Language Processing (NLP) models can be easily adapt...

0 Kangjie Chen, et al. ∙

research

∙ 09/03/2021

Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters

Modern GPU datacenters are critical for delivering Deep Learning (DL) mo...

0 Qinghao Hu, et al. ∙

research

∙ 08/29/2021

kFolden: k-Fold Ensemble for Out-Of-Distribution Detection

Out-of-Distribution (OOD) detection is an important problem in natural l...

0 Xiaoya Li, et al. ∙

research

∙ 08/03/2021

AcousticFusion: Fusing Sound Source Localization to Visual SLAM in Dynamic Environments

Dynamic objects in the environment, such as people and other agents, lea...

8 Tianwei Zhang, et al. ∙

research

∙ 08/02/2021

PoseFusion2: Simultaneous Background Reconstruction and Human Shape Recovery in Real-time

Dynamic environments that include unstructured moving objects pose a har...

5 Huayan Zhang, et al. ∙

research

∙ 06/05/2021

PEEL: A Provable Removal Attack on Deep Hiding

Deep hiding, embedding images into another using deep neural networks, h...

0 Tao Xiang, et al. ∙

research

∙ 06/03/2021

Defending against Backdoor Attacks in Natural Language Generation

The frustratingly fragile nature of neural network models make current n...

0 Chun Fan, et al. ∙

research

∙ 05/30/2021

Fast Nearest Neighbor Machine Translation

Though nearest neighbor Machine Translation (kNN-MT) <cit.> has proved t...

0 Yuxian Meng, et al. ∙

research

∙ 05/30/2021

Parameter Estimation for the SEIR Model Using Recurrent Nets

The standard way to estimate the parameters Θ_SEIR (e.g., the transmissi...

0 Chun Fan, et al. ∙

research

∙ 05/17/2021

Sentence Similarity Based on Contexts

Existing methods to measure sentence similarity are faced with two chall...

0 Xiaofei Sun, et al. ∙

research

∙ 03/26/2021

A Survey of Microarchitectural Side-channel Vulnerabilities, Attacks and Defenses in Cryptography

Side-channel attacks have become a severe threat to the confidentiality ...

0 Xiaoxuan Lou, et al. ∙

research

∙ 03/23/2021

Risk Analysis and Policy Enforcement of Function Interactions in Robot Apps

Robot apps are becoming more automated, complex and diverse. An app usua...

0 Yuan Xu, et al. ∙

research

∙ 01/04/2021

Local Black-box Adversarial Attacks: A Query Efficient Approach

Adversarial attacks have threatened the application of deep neural netwo...

7 Tao Xiang, et al. ∙

research

∙ 12/13/2020

DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation

Public resources and services (e.g., datasets, training platforms, pre-t...

0 Yi Zeng, et al. ∙

research

∙ 12/03/2020

FenceBox: A Platform for Defeating Adversarial Examples with Data Augmentation Techniques

It is extensively studied that Deep Neural Networks (DNNs) are vulnerabl...

0 Han Qiu, et al. ∙

Tianwei Zhang

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