Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks
Stochastic Activation Pruning for Robust Adversarial Defense
Crafting Adversarial Attacks on Recurrent Neural Networks
Privacy-Preserving Deep Learning
Detecting Adversarial Examples via Neural Fingerprinting
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud
Neural net pruning-why and how
DANNP: an efficient artificial neural network pruning tool
Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security
Evasion Attacks against Machine Learning at Test Time
The Limitations of Deep Learning in Adversarial Settings
Crossbar-aware neural network pruning
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries
Accelerated deep neural networks for enhanced Intrusion Detection System
Comparison of shallow and deep neural networks for network intrusion detection
Pruning Filters and Classes: Towards On-Device Customization of Convolutional Neural Networks
Privacy Preserving Back-Propagation Neural Network Learning Made Practical with Cloud Computing
Structured Deep Neural Network Pruning via Matrix Pivoting
NoiseOut: A Simple Way to Prune Neural Networks
Pruning neural networks: is it time to nip it in the bud?
of the student research workshop at the 13 th conference of the european chapter of the association for computational linguistics .
Development of a Small Legged Wall Climbing Robot with Passive Suction Cups
A Multi-scale Triplet Deep Convolutional Neural Network for Person Re-identification
Does the extended technology acceptance model apply to physicians
Insertion, Evasion, and Denial of Service: Eluding Network Intrusion Detection