pasquini-dario

EludingSecureAggregation

Eluding Secure Aggregation in Federated Learning via Model Inconsistency

InterpretablePPSM

Interpretable Probabilistic Password Strength Meters via Deep Learning

LLM_NeuralExec

Code to generate NeuralExecs (prompt injection for LLMs)

LLMmap

OutDomainExamples

Adversarial Out-domain Examples for Generative Models: Adversarial examples for GAN generators

pasquini-dario.github.io

PLR

Guessing passwords via Representation Learning, with style and a mixture of gaussians

SplitNN_FSHA

Privacy attacks on Split Learning

adams

Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries

UniversalNeuralCrackingMachines

Code and pre-trained model for the paper: "Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data"

pasquini-dario/PLR

Guessing passwords via Representation Learning, with style and a mixture of gaussians

pasquini-dario/SplitNN_FSHA

Privacy attacks on Split Learning

pasquini-dario/LLM_NeuralExec

Code to generate NeuralExecs (prompt injection for LLMs)

pasquini-dario/EludingSecureAggregation

Eluding Secure Aggregation in Federated Learning via Model Inconsistency

pasquini-dario/OutDomainExamples

Adversarial Out-domain Examples for Generative Models: Adversarial examples for GAN generators

pasquini-dario/LLMmap

pasquini-dario/InterpretablePPSM

Interpretable Probabilistic Password Strength Meters via Deep Learning

pasquini-dario/pasquini-dario.github.io