Alert button
Picture for Fernando Perez-Cruz

Fernando Perez-Cruz

Alert button

Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem

Mar 06, 2024
Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Sediola Ruko, Briland Hitaj, Luigi V. Mancini, Fernando Perez-Cruz

Figure 1 for Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Figure 2 for Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Figure 3 for Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Figure 4 for Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Viaarxiv icon

Synthetic location trajectory generation using categorical diffusion models

Feb 19, 2024
Simon Dirmeier, Ye Hong, Fernando Perez-Cruz

Viaarxiv icon

Anchor Data Augmentation

Nov 27, 2023
Nora Schneider, Shirin Goshtasbpour, Fernando Perez-Cruz

Viaarxiv icon

Revealing behavioral impact on mobility prediction networks through causal interventions

Nov 20, 2023
Ye Hong, Yanan Xin, Simon Dirmeier, Fernando Perez-Cruz, Martin Raubal

Figure 1 for Revealing behavioral impact on mobility prediction networks through causal interventions
Figure 2 for Revealing behavioral impact on mobility prediction networks through causal interventions
Figure 3 for Revealing behavioral impact on mobility prediction networks through causal interventions
Figure 4 for Revealing behavioral impact on mobility prediction networks through causal interventions
Viaarxiv icon

Diffusion models for probabilistic programming

Nov 01, 2023
Simon Dirmeier, Fernando Perez-Cruz

Viaarxiv icon

Uncertainty quantification and out-of-distribution detection using surjective normalizing flows

Nov 01, 2023
Simon Dirmeier, Ye Hong, Yanan Xin, Fernando Perez-Cruz

Figure 1 for Uncertainty quantification and out-of-distribution detection using surjective normalizing flows
Figure 2 for Uncertainty quantification and out-of-distribution detection using surjective normalizing flows
Figure 3 for Uncertainty quantification and out-of-distribution detection using surjective normalizing flows
Figure 4 for Uncertainty quantification and out-of-distribution detection using surjective normalizing flows
Viaarxiv icon

Simulation-based inference using surjective sequential neural likelihood estimation

Aug 02, 2023
Simon Dirmeier, Carlo Albert, Fernando Perez-Cruz

Figure 1 for Simulation-based inference using surjective sequential neural likelihood estimation
Figure 2 for Simulation-based inference using surjective sequential neural likelihood estimation
Figure 3 for Simulation-based inference using surjective sequential neural likelihood estimation
Figure 4 for Simulation-based inference using surjective sequential neural likelihood estimation
Viaarxiv icon

Adaptive Annealed Importance Sampling with Constant Rate Progress

Jun 27, 2023
Shirin Goshtasbpour, Victor Cohen, Fernando Perez-Cruz

Figure 1 for Adaptive Annealed Importance Sampling with Constant Rate Progress
Figure 2 for Adaptive Annealed Importance Sampling with Constant Rate Progress
Figure 3 for Adaptive Annealed Importance Sampling with Constant Rate Progress
Figure 4 for Adaptive Annealed Importance Sampling with Constant Rate Progress
Viaarxiv icon

PassGPT: Password Modeling and (Guided) Generation with Large Language Models

Jun 14, 2023
Javier Rando, Fernando Perez-Cruz, Briland Hitaj

Figure 1 for PassGPT: Password Modeling and (Guided) Generation with Large Language Models
Figure 2 for PassGPT: Password Modeling and (Guided) Generation with Large Language Models
Figure 3 for PassGPT: Password Modeling and (Guided) Generation with Large Language Models
Figure 4 for PassGPT: Password Modeling and (Guided) Generation with Large Language Models
Viaarxiv icon