:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gallo, Daniela, Liguori, Angelica, Ritacco, Ettore, Caviglione, Luca, Durante, Fabrizio, Manco, Giuseppe
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2410.05819
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Spectral Neural Graph Sparsification
by: Liguori, Angelica, et al.
Published: (2025)

Flexible Generation of Preference Data for Recommendation Analysis
by: Mungari, Simone, et al.
Published: (2024)

Combining Euclidean and Hyperbolic Representations for Node-level Anomaly Detection
by: Mungari, Simone, et al.
Published: (2025)

DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
by: Wang, Zhenting, et al.
Published: (2023)

Engagement-Driven Content Generation with Large Language Models
by: Coppolillo, Erica, et al.
Published: (2024)

ARES: Anomaly Recognition Model For Edge Streams
by: Mungari, Simone, et al.
Published: (2025)

CAP: Controllable Alignment Prompting for Unlearning in LLMs
by: Wang, Zhaokun, et al.
Published: (2026)

Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance
by: Minici, Marco, et al.
Published: (2024)

Enhancing Robustness of AI Offensive Code Generators via Data Augmentation
by: Improta, Cristina, et al.
Published: (2023)

Evidencing Unauthorized Training Data from AI Generated Content using Information Isotopes
by: Tao, Qi, et al.
Published: (2025)

LLASP: Fine-tuning Large Language Models for Answer Set Programming
by: Coppolillo, Erica, et al.
Published: (2024)

CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control
by: Bao, Yajie, et al.
Published: (2024)

Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences
by: Coppolillo, Erica, et al.
Published: (2024)

Reconstruction Error-based Anomaly Detection with Few Outlying Examples
by: Angiulli, Fabrizio, et al.
Published: (2023)

A Federated Many-to-One Hopfield model for associative Neural Networks
by: Alessandrelli, Andrea, et al.
Published: (2026)

Generating Graphs via Spectral Diffusion
by: Minello, Giorgia, et al.
Published: (2024)

Predicting Forced Responses of Probability Distributions via the Fluctuation-Dissipation Theorem and Generative Modeling
by: Giorgini, Ludovico T., et al.
Published: (2025)

Exploiting the Experts: Unauthorized Compression in MoE-LLMs
by: Neogi, Pinaki Prasad Guha, et al.
Published: (2025)

Prompts Generalize with Low Data: Non-vacuous Generalization Bounds for Optimizing Prompts with More Informative Priors
by: Madras, David, et al.
Published: (2025)

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications
by: Wu, Yixin, et al.
Published: (2025)

FedCAP: Robust Federated Learning via Customized Aggregation and Personalization
by: Li, Youpeng, et al.
Published: (2024)

On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code
by: Weyssow, Martin, et al.
Published: (2023)

Investigating Data Usage for Inductive Conformal Predictors
by: Fang, Yizirui, et al.
Published: (2024)

On the Usage of Gaussian Process for Efficient Data Valuation
by: Bénesse, Clément, et al.
Published: (2025)

Teaching Models to Understand (but not Generate) High-risk Data
by: Wang, Ryan, et al.
Published: (2025)

Prompt-to-Slate: Diffusion Models for Prompt-Conditioned Slate Generation
by: Tomasi, Federico, et al.
Published: (2024)

Generative prediction of laser-induced rocket ignition with dynamic latent space representations
by: Zahtila, Tony, et al.
Published: (2026)

Diffusion Transformers for Tabular Data Time Series Generation
by: Garuti, Fabrizio, et al.
Published: (2025)

An Automatic Prompt Generation System for Tabular Data Tasks
by: Akella, Ashlesha, et al.
Published: (2024)

GPDFlow: Generative Multivariate Threshold Exceedance Modeling via Normalizing Flows
by: Hu, Chenglei, et al.
Published: (2025)

Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It
by: Siciliano, Federico, et al.
Published: (2023)

Mitigating Unauthorized Speech Synthesis for Voice Protection
by: Zhang, Zhisheng, et al.
Published: (2024)

Only My Model On My Data: A Privacy Preserving Approach Protecting one Model and Deceiving Unauthorized Black-Box Models
by: Chai, Weiheng, et al.
Published: (2024)

Hebbian Learning from First Principles
by: Albanese, Linda, et al.
Published: (2024)

DistilLock: Safeguarding LLMs from Unauthorized Knowledge Distillation on the Edge
by: Mohanty, Asmita, et al.
Published: (2025)

PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning
by: Kim, Gyeongman, et al.
Published: (2024)

XGeM: A Multi-Prompt Foundation Model for Multimodal Medical Data Generation
by: Molino, Daniele, et al.
Published: (2025)

CAP: A Context-Aware Neural Predictor for NAS
by: Ji, Han, et al.
Published: (2024)

The CAP Principle for LLM Serving: A Survey of Long-Context Large Language Model Serving
by: Zeng, Pai, et al.
Published: (2024)

Benchmarking Music Generation Models and Metrics via Human Preference Studies
by: Grötschla, Florian, et al.
Published: (2025)