research
∙
09/12/2023
Catch You Everything Everywhere: Guarding Textual Inversion via Concept Watermarking
AIGC (AI-Generated Content) has achieved tremendous success in many appl...
share
research
∙
08/21/2023
Instruction Tuning for Large Language Models: A Survey
This paper surveys research works in the quickly advancing field of inst...
research
∙
08/21/2023
Backdooring Textual Inversion for Concept Censorship
Recent years have witnessed success in AIGC (AI Generated Content). Peop...
research
∙
08/12/2023
One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training
Deep neural networks (DNNs) are widely deployed on real-world devices. C...
research
∙
08/03/2023
Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding
Deep hiding, embedding images with others using deep neural networks, ha...
research
∙
08/02/2023
Mercury: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator
DNN accelerators have been widely deployed in many scenarios to speed up...
research
∙
07/14/2023
Omnipotent Adversarial Training for Unknown Label-noisy and Imbalanced Datasets
Adversarial training is an important topic in robust deep learning, but ...
research
∙
07/14/2023
Adversarial Training Over Long-Tailed Distribution
In this paper, we study adversarial training on datasets that obey the l...
research
∙
06/16/2023
Pushing the Limits of ChatGPT on NLP Tasks
Despite the success of ChatGPT, its performances on most NLP tasks are s...
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...
research
∙
05/15/2023
Text Classification via Large Language Models
Despite the remarkable success of large-scale Language Models (LLMs) suc...
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...
research
∙
03/25/2023
Backdoor Attacks with Input-unique Triggers in NLP
Backdoor attack aims at inducing neural models to make incorrect predict...
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...
research
∙
02/27/2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks
Bit-flip attacks (BFAs) have attracted substantial attention recently, i...
research
∙
02/23/2023
Smaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding
Deep hiding, concealing secret information using Deep Neural Networks (D...
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...
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 ...
research
∙
12/03/2022
Efficiency Boosting of Secure Cross-platform Recommender Systems over Sparse Data
Fueled by its successful commercialization, the recommender system (RS) ...
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...
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...
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...
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...
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...
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...
research
∙
07/11/2022
A Secure Fingerprinting Framework for Distributed Image Classification
The deep learning (DL) technology has been widely used for image classif...
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...
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...
research
∙
07/11/2022
Privacy-preserving Decentralized Deep Learning with Multiparty Homomorphic Encryption
Decentralized deep learning plays a key role in collaborative model trai...
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...
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...
research
∙
04/07/2022
ShiftNAS: Towards Automatic Generation of Advanced Mulitplication-Less Neural Networks
Multiplication-less neural networks significantly reduce the time and en...
research
∙
03/31/2022
kNN-NER: Named Entity Recognition with Nearest Neighbor Search
Inspired by recent advances in retrieval augmented methods in NLP <cit.>...
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...
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 ...
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 ...
research
∙
02/14/2022
Threats to Pre-trained Language Models: Survey and Taxonomy
Pre-trained language models (PTLMs) have achieved great success and rema...
research
∙
01/20/2022
Watermarking Pre-trained Encoders in Contrastive Learning
Contrastive learning has become a popular technique to pre-train image e...
research
∙
12/15/2021
Faster Nearest Neighbor Machine Translation
kNN based neural machine translation (kNN-MT) has achieved state-of-the-...
research
∙
12/10/2021
Protecting Your NLG Models with Semantic and Robust Watermarks
Natural language generation (NLG) applications have gained great popular...
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...
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...
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...
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 ...
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...
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...
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...
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...
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...
research
∙
06/05/2021