- Debugging Machine Learning Tasks
- Neural Trojans
- Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
- Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring
- Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks
- Hardware Trojan Attacks on Neural Networks
- Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation
- Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering
- STRIP: A Defence Against Trojan Attacks on Deep Neural Networks
- Design of Intentional Backdoors In Sequential Models
- A new Backdoor Attack in CNNs by training set corruption without label poisoning
- Quantitative Verification of Neural Networks And Its Security Applications
- Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs
- TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
- Model Agnostic Defence against Backdoor Attacks in Machine Learning
- Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
- Invisible Backdoor Attacks on Deep Neural Networks via Steganography and Regularization
- Hidden Trigger Backdoor Attacks
- Detecting AI Trojans Using Meta Neural Analysis
- A Survey on Neural Trojans
- Backdoor Attacks against Learning Systems
- Latent Backdoor Attacks on Deep Neural Networks
- Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
- BadNets: Evaluating Backdooring Attacks on Deep Neural Networks
- Detecting Poisoning Attacks on Machine Learning in IoT Environments
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation
- DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks
- Sensitive-Sample Fingerprinting of Deep Neural Networks
- SIN2: Stealth Infection on Neural Network – A Low-cost Agile Neural Trojan Attack Methodology
- Trojaning Attack on Neural Networks
- Watermarking Deep Neural Networks for Embedded Systems
- Gotta Catch 'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks
manjunath5496/Neural-Backdoor-Papers
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