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09/20/2023
Locate and Verify: A Two-Stream Network for Improved Deepfake Detection
Deepfake has taken the world by storm, triggering a trust crisis. Curren...
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09/18/2023
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues
The malicious use and widespread dissemination of deepfake pose a signif...
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09/11/2023
Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning (Extended Version)
Causal discovery is a powerful technique for identifying causal relation...
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08/23/2023
RemovalNet: DNN Fingerprint Removal Attacks
With the performance of deep neural networks (DNNs) remarkably improving...
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08/10/2023
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis
Deep learning classifiers achieve state-of-the-art performance in variou...
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08/05/2023
PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification
Large language models (LLMs) have witnessed a meteoric rise in popularit...
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07/31/2023
Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks
The language models, especially the basic text classification models, ha...
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07/03/2023
Recovering coefficients in a system of semilinear Helmholtz equations from internal data
We study an inverse problem for a coupled system of semilinear Helmholtz...
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06/29/2023
SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores
Numerous studies have underscored the significant privacy risks associat...
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06/20/2023
Masked Diffusion Models are Fast Learners
Diffusion models have emerged as the de-facto technique for image genera...
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06/20/2023
FDINet: Protecting against DNN Model Extraction via Feature Distortion Index
Machine Learning as a Service (MLaaS) platforms have gained popularity d...
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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...
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02/08/2023
Adaptive State-Dependent Diffusion for Derivative-Free Optimization
This paper develops and analyzes a stochastic derivative-free optimizati...
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12/01/2022
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores
Neural networks are susceptible to data inference attacks such as the me...
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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...
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11/10/2022
Privacy-Utility Balanced Voice De-Identification Using Adversarial Examples
Faced with the threat of identity leakage during voice data publishing, ...
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10/17/2022
Data-Driven Joint Inversions for PDE Models
The task of simultaneously reconstructing multiple physical coefficients...
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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...
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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...
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09/16/2022
PA-Boot: A Formally Verified Authentication Protocol for Multiprocessor Secure Boot
Hardware supply-chain attacks are raising significant security threats t...
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07/17/2022
Task-aware Similarity Learning for Event-triggered Time Series
Time series analysis has achieved great success in diverse applications ...
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07/05/2022
iLibScope: Reliable Third-Party Library Detection for iOS Mobile Apps
Vetting security impacts introduced by third-party libraries in iOS apps...
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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...
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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...
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03/03/2022
Coupling Deep Learning with Full Waveform Inversion
Full waveform inversion (FWI) aims at reconstructing unknown physical co...
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03/03/2022
Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models
Prioritizing fairness is of central importance in artificial intelligenc...
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02/05/2022
Backdoor Defense via Decoupling the Training Process
Recent studies have revealed that deep neural networks (DNNs) are vulner...
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01/23/2022
A Generalized Weighted Optimization Method for Computational Learning and Inversion
The generalization capacity of various machine learning models exhibits ...
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07/29/2021
Feature Importance-aware Transferable Adversarial Attacks
Transferability of adversarial examples is of central importance for att...
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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...
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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...
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05/29/2021
ECMO: Peripheral Transplantation to Rehost Embedded Linux Kernels
Dynamic analysis based on the full-system emulator QEMU is widely used f...
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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 ...
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05/29/2021
Revisiting Challenges for Selective Data Protection of Real Applications
Selective data protection is a promising technique to defend against the...
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04/30/2021
DeFiRanger: Detecting Price Manipulation Attacks on DeFi Applications
The rapid growth of Decentralized Finance (DeFi) boosts the Ethereum eco...
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10/30/2020
Towards Understanding and Demystifying Bitcoin Mixing Services
The popularity of Bitcoin benefits a lot from its anonymity. However, th...
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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...
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10/23/2020
Towards understanding flash loan and its applications in defi ecosystem
Flash Loan, as an emerging service in the decentralized finance ecosyste...
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10/11/2020
A range characterization of the single-quadrant ADRT
This work characterizes the range of the single-quadrant approximate dis...
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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...
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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 ...
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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...
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05/14/2020
Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition
Skeleton-based action recognition has attracted increasing attention due...
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04/10/2020
A Framework for Behavior Privacy Preserving in Radio Frequency Signal
Recent years have witnessed the bloom development of the human-centered ...
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04/08/2020
Adversary Helps: Gradient-based Device-Free Domain-Independent Gesture Recognition
Wireless signal-based gesture recognition has promoted the developments ...
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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...
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11/15/2019
The quadratic Wasserstein metric for inverse data matching
This work characterizes, analytically and numerically, two major effects...
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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...
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04/26/2019
Towards Data Poisoning Attack against Knowledge Graph Embedding
Knowledge graph embedding (KGE) is a technique for learning continuous e...
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04/03/2019