b'Kui Ren'

research

∙ 05/04/2023

ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos

Building benchmarks to systemically analyze different capabilities of vi...

0 Zhou Yu, et al. ∙

research

∙ 02/08/2023

Adaptive State-Dependent Diffusion for Derivative-Free Optimization

This paper develops and analyzes a stochastic derivative-free optimizati...

0 Bjorn Engquist, et al. ∙

research

∙ 12/01/2022

Purifier: Defending Data Inference Attacks via Transforming Confidence Scores

Neural networks are susceptible to data inference attacks such as the me...

10 Ziqi Yang, et al. ∙

research

∙ 11/14/2022

FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model

Copyright protection of the Federated Learning (FL) model has become a m...

0 Shuo Shao, et al. ∙

research

∙ 11/10/2022

Privacy-Utility Balanced Voice De-Identification Using Adversarial Examples

Faced with the threat of identity leakage during voice data publishing, ...

0 Meng Chen, et al. ∙

research

∙ 10/17/2022

Data-Driven Joint Inversions for PDE Models

The task of simultaneously reconstructing multiple physical coefficients...

0 Kui Ren, et al. ∙

research

∙ 10/17/2022

Private Data Valuation and Fair Payment in Data Marketplaces

Data valuation is an essential task in a data marketplace. It aims at fa...

0 Zhihua Tian, et al. ∙

research

∙ 10/04/2022

OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization

Vertical Federated Learning (FL) is a new paradigm that enables users wi...

0 Xiaochen Li, et al. ∙

research

∙ 09/16/2022

PA-Boot: A Formally Verified Authentication Protocol for Multiprocessor Secure Boot

Hardware supply-chain attacks are raising significant security threats t...

0 Zhuoruo Zhang, et al. ∙

research

∙ 07/17/2022

Task-aware Similarity Learning for Event-triggered Time Series

Time series analysis has achieved great success in diverse applications ...

0 Shaoyu Dou, et al. ∙

research

∙ 07/05/2022

iLibScope: Reliable Third-Party Library Detection for iOS Mobile Apps

Vetting security impacts introduced by third-party libraries in iOS apps...

0 Jingyi Guo, et al. ∙

research

∙ 06/05/2022

Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial Training

Adversarial training has been widely explored for mitigating attacks aga...

0 Guodong Cao, et al. ∙

research

∙ 04/12/2022

An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization

We propose a new stochastic gradient descent algorithm for finding the g...

0 Bjorn Engquist, et al. ∙

research

∙ 03/03/2022

Coupling Deep Learning with Full Waveform Inversion

Full waveform inversion (FWI) aims at reconstructing unknown physical co...

0 Wen Ding, et al. ∙

research

∙ 03/03/2022

Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models

Prioritizing fairness is of central importance in artificial intelligenc...

0 Zhibo Wang, et al. ∙

research

∙ 02/05/2022

Backdoor Defense via Decoupling the Training Process

Recent studies have revealed that deep neural networks (DNNs) are vulner...

0 Kunzhe Huang, et al. ∙

research

∙ 01/23/2022

A Generalized Weighted Optimization Method for Computational Learning and Inversion

The generalization capacity of various machine learning models exhibits ...

0 Kui Ren, et al. ∙

research

∙ 07/29/2021

Feature Importance-aware Transferable Adversarial Attacks

Transferability of adversarial examples is of central importance for att...

0 Zhibo Wang, et al. ∙

research

∙ 06/10/2021

Lifting The Grey Curtain: A First Look at the Ecosystem of CULPRITWARE

Mobile apps are extensively involved in cyber-crimes. Some apps are malw...

0 Zhuo Chen, et al. ∙

research

∙ 05/29/2021

A Measurement Study on the (In)security of End-of-Life (EoL) Embedded Devices

Embedded devices are becoming popular. Meanwhile, researchers are active...

0 Dingding Wang, et al. ∙

research

∙ 05/29/2021

ECMO: Peripheral Transplantation to Rehost Embedded Linux Kernels

Dynamic analysis based on the full-system emulator QEMU is widely used f...

0 Muhui Jiang, et al. ∙

research

∙ 05/29/2021

Examiner: Automatically Locating Inconsistent Instructions Between Real Devices and CPU Emulators for ARM

Emulator is widely used to build dynamic analysis frameworks due to its ...

0 Muhui Jiang, et al. ∙

research

∙ 05/29/2021

Revisiting Challenges for Selective Data Protection of Real Applications

Selective data protection is a promising technique to defend against the...

0 Lin Ma, et al. ∙

research

∙ 04/30/2021

DeFiRanger: Detecting Price Manipulation Attacks on DeFi Applications

The rapid growth of Decentralized Finance (DeFi) boosts the Ethereum eco...

0 Siwei Wu, et al. ∙

research

∙ 10/30/2020

Towards Understanding and Demystifying Bitcoin Mixing Services

The popularity of Bitcoin benefits a lot from its anonymity. However, th...

0 Lei Wu, et al. ∙

research

∙ 10/23/2020

Towards Efficiently Establishing Mutual Distrust Between Host Application and Enclave for SGX

Since its debut, SGX has been used in many applications, e.g., secure da...

0 Yuan Chen, et al. ∙

research

∙ 10/23/2020

Towards understanding flash loan and its applications in defi ecosystem

Flash Loan, as an emerging service in the decentralized finance ecosyste...

0 Dabao Wang, et al. ∙

research

∙ 10/11/2020

A range characterization of the single-quadrant ADRT

This work characterizes the range of the single-quadrant approximate dis...

0 Weilin Li, et al. ∙

research

∙ 09/29/2020

DUMP: A Dummy-Point-Based Framework for Histogram Estimation in Shuffle Model

In Central Differential Privacy (CDP), there is a trusted analyst who co...

0 Xiaochen Li, et al. ∙

research

∙ 06/12/2020

Injecting Reliable Radio Frequency Fingerprints Using Metasurface for The Internet of Things

In Internet of Things, where billions of devices with limited resources ...

1 Sekhar Rajendran Sekharan, et al. ∙

research

∙ 05/17/2020

EthScope: A Transaction-centric Security Analytics Framework to Detect Malicious Smart Contracts on Ethereum

As one of the representative blockchain platforms, Ethereum has attracte...

0 Lei Wu, et al. ∙

research

∙ 05/14/2020

Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition

Skeleton-based action recognition has attracted increasing attention due...

2 Tianhang Zheng, et al. ∙

research

∙ 04/10/2020

A Framework for Behavior Privacy Preserving in Radio Frequency Signal

Recent years have witnessed the bloom development of the human-centered ...

0 Jianwei Liu, et al. ∙

research

∙ 04/08/2020

Adversary Helps: Gradient-based Device-Free Domain-Independent Gesture Recognition

Wireless signal-based gesture recognition has promoted the developments ...

1 Jianwei Liu, et al. ∙

research

∙ 12/23/2019

ARM Pointer Authentication based Forward-Edge and Backward-Edge Control Flow Integrity for Kernels

Code reuse attacks are still big threats to software and system security...

0 Yutian Yang, et al. ∙

research

∙ 11/15/2019

The quadratic Wasserstein metric for inverse data matching

This work characterizes, analytically and numerically, two major effects...

0 Bjorn Engquist, et al. ∙

research

∙ 08/27/2019

Separability of the kernel function in an integral formulation for anisotropic radiative transfer equation

We study in this work an integral formulation for the radiative transfer...

0 Kui Ren, et al. ∙

research

∙ 04/26/2019

Towards Data Poisoning Attack against Knowledge Graph Embedding

Knowledge graph embedding (KGE) is a technique for learning continuous e...

0 Hengtong Zhang, et al. ∙

research

∙ 04/03/2019

Towards a First Step to Understand the Cryptocurrency Stealing Attack on Ethereum

We performed the first systematic study of a new attack on Ethereum to s...

0 Zhen Cheng, et al. ∙

research

∙ 01/17/2019

FID: Function Modeling-based Data-Independent and Channel-Robust Physical-Layer Identification

Trusted identification is critical to secure IoT devices. However, the l...

0 Tianhang Zheng, et al. ∙

research

∙ 11/28/2018

Learning Saliency Maps for Adversarial Point-Cloud Generation

3D point-cloud recognition with deep neural network (DNN) has received r...

0 Tianhang Zheng, et al. ∙

research

∙ 10/10/2018

Towards Differentially Private Truth Discovery for Crowd Sensing Systems

Nowadays, crowd sensing becomes increasingly more popular due to the ubi...

0 Yaliang Li, et al. ∙

research

∙ 10/10/2018

Is PGD-Adversarial Training Necessary? Alternative Training via a Soft-Quantization Network with Noisy-Natural Samples Only

Recent work on adversarial attack and defense suggests that PGD is a uni...

0 Tianhang Zheng, et al. ∙

research

∙ 08/16/2018

Distributionally Adversarial Attack

Recent work on adversarial attack has shown that Projected Gradient Desc...

0 Tianhang Zheng, et al. ∙

research

∙ 08/10/2018

Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection

Machine learning based solutions have been successfully employed for aut...

0 Xiao Chen, et al. ∙

research

∙ 04/10/2018

What's (Not) Validating Network Paths: A Survey

Validating network paths taken by packets is critical for a secure Inter...

0 Kai Bu, et al. ∙

Kui Ren

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