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09/06/2023
Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction
Positive-Unlabeled (PU) Learning is a challenge presented by binary clas...
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09/05/2023
Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting
The widespread adoption of the Android operating system has made malicio...
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06/20/2023
UVSCAN: Detecting Third-Party Component Usage Violations in IoT Firmware
Nowadays, IoT devices integrate a wealth of third-party components (TPCs...
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05/18/2023
Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization
Automatically generating human-readable text describing the functionalit...
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03/30/2023
Diff-ID: An Explainable Identity Difference Quantification Framework for DeepFake Detection
Despite the fact that DeepFake forgery detection algorithms have achieve...
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03/23/2023
Watch Out for the Confusing Faces: Detecting Face Swapping with the Probability Distribution of Face Identification Models
Recently, face swapping has been developing rapidly and achieved a surpr...
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03/22/2023
Edge Deep Learning Model Protection via Neuron Authorization
With the development of deep learning processors and accelerators, deep ...
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03/05/2023
MINER: A Hybrid Data-Driven Approach for REST API Fuzzing
In recent years, REST API fuzzing has emerged to explore errors on a clo...
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02/28/2023
FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases
Trojan attack on deep neural networks, also known as backdoor attack, is...
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02/12/2023
TextDefense: Adversarial Text Detection based on Word Importance Entropy
Currently, natural language processing (NLP) models are wildly used in v...
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12/28/2022
One Bad Apple Spoils the Barrel: Understanding the Security Risks Introduced by Third-Party Components in IoT Firmware
Currently, the development of IoT firmware heavily depends on third-part...
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12/01/2022
All You Need Is Hashing: Defending Against Data Reconstruction Attack in Vertical Federated Learning
Vertical federated learning is a trending solution for multi-party colla...
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12/01/2022
Hijack Vertical Federated Learning Models with Adversarial Embedding
Vertical federated learning (VFL) is an emerging paradigm that enables c...
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09/05/2022
"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution
Understanding the decision process of neural networks is hard. One vital...
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08/18/2022
MPInspector: A Systematic and Automatic Approach for Evaluating the Security of IoT Messaging Protocols
Facilitated by messaging protocols (MP), many home devices are connected...
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05/21/2022
Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning
Towards real-world information extraction scenario, research of relation...
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04/07/2022
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings
One intriguing property of adversarial attacks is their "transferability...
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02/22/2022
Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era
Facial Liveness Verification (FLV) is widely used for identity authentic...
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12/25/2021
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification
Deep neural networks (DNNs) have demonstrated their outperformance in va...
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04/11/2021