b'Lichao Sun'

research

∙ 09/18/2023

Evaluation of GPT-3 for Anti-Cancer Drug Sensitivity Prediction

In this study, we investigated the potential of GPT-3 for the anti-cance...

0 Shaika Chowdhury, et al. ∙

research

∙ 07/31/2023

Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples

Deep Neural Networks (DNNs) for 3D point cloud recognition are vulnerabl...

0 Qiufan Ji, et al. ∙

research

∙ 07/12/2023

Instruction Mining: High-Quality Instruction Data Selection for Large Language Models

Large language models typically undergo two training stages, pretraining...

0 Yihan Cao, et al. ∙

research

∙ 06/20/2023

TrustGPT: A Benchmark for Trustworthy and Responsible Large Language Models

Large Language Models (LLMs) such as ChatGPT, have gained significant at...

0 Yue Huang, et al. ∙

research

∙ 06/13/2023

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning

Offline reinforcement learning (RL) provides a promising solution to lea...

0 Siyuan Guo, et al. ∙

research

∙ 06/12/2023

Scalable Fair Influence Maximization

Given a graph G, a community structure 𝒞, and a budget k, the fair influ...

0 Xiaobin Rui, et al. ∙

research

∙ 06/08/2023

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs

This paper introduces FedMLSecurity, a benchmark that simulates adversar...

7 Shanshan Han, et al. ∙

research

∙ 06/08/2023

Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning

Recent works have shown the potential of diffusion models in computer vi...

0 Jifeng Hu, et al. ∙

research

∙ 06/02/2023

Decentralized Federated Learning: A Survey and Perspective

Federated learning (FL) has been gaining attention for its ability to sh...

0 Liangqi Yuan, et al. ∙

research

∙ 05/25/2023

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models

Recently, Generative Diffusion Models (GDMs) have showcased their remark...

0 Yingqian Cui, et al. ∙

research

∙ 05/22/2023

Watermarking Text Data on Large Language Models for Dataset Copyright Protection

Large Language Models (LLMs), such as BERT and GPT-based models like Cha...

0 Yixin Liu, et al. ∙

research

∙ 03/08/2023

Memory-adaptive Depth-wise Heterogenous Federated Learning

Federated learning is a promising paradigm that allows multiple clients ...

0 Kai Zhang, et al. ∙

research

∙ 03/07/2023

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Recently, ChatGPT, along with DALL-E-2 and Codex,has been gaining signif...

0 Yihan Cao, et al. ∙

research

∙ 03/05/2023

Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation

While the use of graph-structured data in various fields is becoming inc...

0 Yixin Liu, et al. ∙

research

∙ 03/05/2023

Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation

The volume of open-source biomedical data has been essential to the deve...

0 Yixin Liu, et al. ∙

research

∙ 02/18/2023

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

The Pretrained Foundation Models (PFMs) are regarded as the foundation f...

0 Ce Zhou, et al. ∙

research

∙ 02/18/2023

Backdoor Attacks to Pre-trained Unified Foundation Models

The rise of pre-trained unified foundation models breaks down the barrie...

0 Zenghui Yuan, et al. ∙

research

∙ 02/07/2023

SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency

Deep neural networks (DNNs) are vulnerable to backdoor attacks, where ad...

0 Junfeng Guo, et al. ∙

research

∙ 01/02/2023

Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding

Temporal sentence grounding (TSG) aims to identify the temporal boundary...

0 Jiahao Zhu, et al. ∙

research

∙ 12/06/2022

Tackling Data Heterogeneity in Federated Learning with Class Prototypes

Data heterogeneity across clients in federated learning (FL) settings is...

0 Yutong Dai, et al. ∙

research

∙ 11/23/2022

SEAT: Stable and Explainable Attention

Currently, attention mechanism becomes a standard fixture in most state-...

0 Lijie Hu, et al. ∙

research

∙ 11/22/2022

PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples

Point cloud completion, as the upstream procedure of 3D recognition and ...

0 Shengshan Hu, et al. ∙

research

∙ 10/18/2022

Transferable Unlearnable Examples

With more people publishing their personal data online, unauthorized dat...

5 Jie Ren, et al. ∙

research

∙ 10/14/2022

Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning

Multi-agent reinforcement learning has drawn increasing attention in pra...

0 Jifeng Hu, et al. ∙

research

∙ 09/02/2022

Scalable Adversarial Attack Algorithms on Influence Maximization

In this paper, we study the adversarial attacks on influence maximizatio...

0 Lichao Sun, et al. ∙

research

∙ 06/18/2022

Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation

We consider a federated representation learning framework, where with th...

0 Jiaxiang Tang, et al. ∙

research

∙ 06/10/2022

Membership Inference via Backdooring

Recently issued data privacy regulations like GDPR (General Data Protect...

0 Hongsheng Hu, et al. ∙

research

∙ 05/25/2022

End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models

We propose the end-to-end multimodal fact-checking and explanation gener...

0 Barry Menglong Yao, et al. ∙

research

∙ 05/08/2022

Data-Free Adversarial Knowledge Distillation for Graph Neural Networks

Graph neural networks (GNNs) have been widely used in modeling graph str...

0 Yuanxin Zhuang, et al. ∙

research

∙ 03/17/2022

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation

Federated Learning (FL) on knowledge graphs (KGs) has yet to be as well ...

7 Kai Zhang, et al. ∙

research

∙ 11/29/2021

FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization

The underlying assumption of recent federated learning (FL) paradigms is...

0 Dezhong Yao, et al. ∙

research

∙ 11/21/2021

Structure-Preserving Graph Kernel for Brain Network Classification

This paper presents a novel graph-based kernel learning approach for con...

0 Zhaomin Kong, et al. ∙

research

∙ 10/14/2021

Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding

Event extraction is typically modeled as a multi-class classification pr...

0 Sijia Wang, et al. ∙

research

∙ 10/07/2021

DoubleStar: Long-Range Attack Towards Depth Estimation based Obstacle Avoidance in Autonomous Systems

Depth estimation-based obstacle avoidance has been widely adopted by aut...

4 Ce Zhou, et al. ∙

research

∙ 09/13/2021

Source Inference Attacks in Federated Learning

Federated learning (FL) has emerged as a promising privacy-aware paradig...

0 Hongsheng Hu, et al. ∙

research

∙ 09/03/2021

How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data

Since training a large-scale backdoored model from scratch requires a la...

2 Zhiyuan Zhang, et al. ∙

research

∙ 08/26/2021

DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN

In the information explosion era, recommender systems (RSs) are widely s...

0 Yu Wang, et al. ∙

research

∙ 08/17/2021

HAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks

Android is undergoing unprecedented malicious threats daily, but the exi...

0 Yiming Hei, et al. ∙

research

∙ 07/31/2021

Multiplex Graph Networks for Multimodal Brain Network Analysis

In this paper, we propose MGNet, a simple and effective multiplex graph ...

0 Zhaoming Kong, et al. ∙

research

∙ 07/07/2021

Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis

Multimodal brain networks characterize complex connectivities among diff...

10 Yanqiao Zhu, et al. ∙

research

∙ 06/30/2021

Global Knowledge Distillation in Federated Learning

Knowledge distillation has caught a lot of attention in Federated Learni...

0 Wanning Pan, et al. ∙

research

∙ 06/25/2021

Subgraph Federated Learning with Missing Neighbor Generation

Graphs have been widely used in data mining and machine learning due to ...

9 Ke Zhang, et al. ∙

research

∙ 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...

0 Lingjuan Lyu, et al. ∙

research

∙ 05/07/2021

Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks

Graph representation learning has achieved great success in many areas, ...

12 Gongxu Luo, et al. ∙

research

∙ 05/04/2021

Federated Multi-View Learning for Private Medical Data Integration and Analysis

Along with the rapid expansion of information technology and digitalizat...

11 Sicong Che, et al. ∙

research

∙ 04/25/2021

User Preference-aware Fake News Detection

Disinformation and fake news have posed detrimental effects on individua...

0 Yingtong Dou, et al. ∙

research

∙ 04/16/2021

Membership Inference Attacks on Knowledge Graphs

Knowledge graphs have become increasingly popular supplemental informati...

0 Yu Wang, et al. ∙

research

∙ 03/18/2021

Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!

Natural language processing (NLP) tasks, ranging from text classificatio...

0 Xuanli He, et al. ∙

research

∙ 02/06/2021

FedMood:Federated Learning on Mobile Health Data for Mood Detection

Depression is one of the most common mental illness problems, and the sy...

0 Xiaohang Xu, et al. ∙

research

∙ 12/07/2020

Privacy and Robustness in Federated Learning: Attacks and Defenses

As data are increasingly being stored in different silos and societies b...

0 Lingjuan Lyu, et al. ∙

Lichao Sun

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