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neural network security

46 papers

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Co-occurring keywords

backdoor attack (377) adversarial learning (1592) adversarial attack (1599) deep neural network (1801) neural network (6616) trojan attack (23) model security (118) adversarial defense (324) backdoor detection (32) adversarial machine learning (41)

Papers

Training with More Confidence: Mitigating Injected and Natural Backdoors During Training NIPS 2022
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork NIPS 2022
On the Effectiveness of Small Input Noise for Defending Against Query-Based Black-Box Attacks WACV 2022
Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets NIPS 2022
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free CVPR 2022
FIBA: Frequency-Injection Based Backdoor Attack in Medical Image Analysis CVPR 2022
Complex Backdoor Detection by Symmetric Feature Differencing CVPR 2022
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations ICML 2022
BppAttack: Stealthy and Efficient Trojan Attacks Against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning CVPR 2022
Black-Box Detection of Backdoor Attacks With Limited Information and Data ICCV 2021
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution ACL 2021
CLEAR: Clean-Up Sample-Targeted Backdoor in Neural Networks ICCV 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data NIPS 2021
Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective ICCV 2021
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization ICML 2021
ProFlip: Targeted Trojan Attack With Progressive Bit Flips ICCV 2021
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks EMNLP 2021
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger’s Adversarial Attacks IJCNLP 2021
A Backdoor Attack Against 3D Point Cloud Classifiers ICCV 2021
TBT: Targeted Neural Network Attack With Bit Trojan CVPR 2020
Interpretation of Neural Networks Is Fragile AAAI 2019