Multi-Class Triplet Loss With Gaussian Noise for Adversarial Robustness. - Benjamin Appiah; Edward Yellakuor Baagyere; Kwabena Owusu-Agyemang; Zhiguang Qin; Muhammed Amin Abdullah (IEEE Access, 2020)

Decision tree pairwise metric learning against adversarial attacks. - Benjamin Appiah; Zhiguang Qin; Mighty Abra Ayidzoe; Ansuura JohnBosco Aristotle Kanpogninge (Comput. Secur., 2021)

EGAN: Evolutional GAN for Ransomware Evasion. - Daniel Commey; Benjamin Appiah; Bill K. Frimpong; Isaac Osei; Ebenezer N. A. Hammond; Garth V. Crosby (LCN, 2023)

Predicting Academic Procrastination Among University Students Using Autoencoder Model. - Anthony Kingsley Sackey; Benjamin Appiah; Adolph Sedem Yaw Adu; Emmanuel Kwesi Baah; Eric Nana Agyekum Boamah (ICACT, 2025)

Performance Analysis and Deployment Considerations of Post-Quantum Cryptography for Consumer Electronics. - Daniel Commey; Benjamin Appiah; Griffith Selorm Klogo; Winful Bagyl-Bac; James D. Gadze (CoRR, 2025)

The algebraic structure of hyperbolic graph braid groups. - Benjamin Appiah; Pallavi Dani; Wayne Ge; Christopher Hudson; Saumya Jain; Matthew Lemoine; Jake Murphy; Justin Murray; Adithyan Pandikkadan; Kevin Schreve; Huong Vo (Int. J. Algebra Comput., 2025)

Secure IoT firmware updates against supply chain attacks. - Benjamin Appiah; Daniel Commey; Isaac Osei; Bill K. Frimpong; Gabriel Assamah; Ebenezer N. A. Hammond (J. Supercomput., 2025)

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs. - Daniel Commey; Benjamin Appiah; Griffith Selorm Klogo; Garth V. Crosby (CoRR, 2025)