The effectiveness of subspace mapping techniques adapted to unlabeled samples from a global domain in mitigating sample selection bias

Generalizability of Deep Domain Adaptation in case of Sample Selection Bias

Evaluating the Effectiveness of Importance Weighting Techniques in Mitigating Sample Selection Bias

Multi-Vendor Matrix Factorization with Differential Privacy

Analysing different Distributed Denial of Service (DDoS) attacks and its solutions in SDN

Study the impact of topology-related attacks in Software Defined Network

Study Of The Impact Of Side-channel Attacks On Software Defined Networks

MULTI-FLGANs: Multi Distributed Adversarial Networks for Non-IID distributed datasets

Improving privacy of Federated Learning Generative Adversarial Networks using Intel SGX

Using autoencoders on differentially private federated learning GANs

Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks

Analyzing Flow Rule Attacks and Policy Enforcement in Software Defined Networking

Side-channel Attacks on Inner Rounds of AES and PRESENT: A deeper look into the inner rounds of SPN based block ciphers and how this vision can help us attack the intermediate bytes using Deep Learning

Adversarial Examples as a defense against Side-Channel Attacks: A novel approach for countermeasure design

Discovering health disparities: Designing a secure multiparty architecture for social health research

A New Standard: Redesigning Autonomous Vehicle Communication Using Multi-Party Computation

Making private GPS data available to policy makers: Investigating the feasibility of multi-party computation for smart mobility

Secure MPC-Sortition: Consolidating Innovations in Democracy and Cryptography

Mitigating game theoretic vulnerabilities in Chainlink

Mitigating sandwich attacks in Kyber DMM