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08/29/2023
PEM: Representing Binary Program Semantics for Similarity Analysis via a Probabilistic Execution Model
Binary similarity analysis determines if two binary executables are from...
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08/04/2023
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP
Backdoor attacks have emerged as a prominent threat to natural language ...
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05/27/2023
Backdooring Neural Code Search
Reusing off-the-shelf code snippets from online repositories is a common...
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04/28/2023
Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving
Multi-sensor fusion (MSF) is widely adopted for perception in autonomous...
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03/23/2023
Detecting Backdoors in Pre-trained Encoders
Self-supervised learning in computer vision trains on unlabeled data, su...
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01/31/2023
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks
Monocular Depth Estimation (MDE) is a critical component in applications...
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01/29/2023
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering
Most existing methods to detect backdoored machine learning (ML) models ...
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01/16/2023
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense
Deep Learning backdoor attacks have a threat model similar to traditiona...
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11/29/2022
Backdoor Vulnerabilities in Normally Trained Deep Learning Models
We conduct a systematic study of backdoor vulnerabilities in normally tr...
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10/23/2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
Federated Learning (FL) is a distributed learning paradigm that enables ...
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07/11/2022
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches
Deep learning has substantially boosted the performance of Monocular Dep...
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06/18/2022
DECK: Model Hardening for Defending Pervasive Backdoors
Pervasive backdoors are triggered by dynamic and pervasive input perturb...
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06/15/2022
An Extractive-and-Abstractive Framework for Source Code Summarization
(Source) Code summarization aims to automatically generate summaries/com...
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02/16/2022
Code Search based on Context-aware Code Translation
Code search is a widely used technique by developers during software dev...
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02/11/2022
Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense
We develop a novel optimization method for NLPbackdoor inversion. We lev...
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03/16/2021
EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry
Backdoor attack injects malicious behavior to models such that inputs em...
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02/09/2021
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
Back-door attack poses a severe threat to deep learning systems. It inje...
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06/12/2020
D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack
We propose a novel technique that can generate natural-looking adversari...
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04/26/2020
Towards Feature Space Adversarial Attack
We propose a new type of adversarial attack to Deep Neural Networks (DNN...
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09/09/2019
Sequential Convolutional Recurrent Neural Networks for Fast Automatic Modulation Classification
A novel and efficient end-to-end learning model for automatic modulation...
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10/27/2018
