Poster: Backdoor Attack on Extreme Learning Machines. - Behrad Tajalli; Gorka Abad; Stjepan Picek (CCS, 2023)

On Feasibility of Server-side Backdoor Attacks on Split Learning. - Behrad Tajalli; Oguzhan Ersoy; Stjepan Picek (SP (Workshops), 2023)

A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification. - Gorka Abad; Jing Xu 028; Stefanos Koffas; Behrad Tajalli; Stjepan Picek (CoRR, 2023)

Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data. - Bart Pleiter; Behrad Tajalli; Stefanos Koffas; Gorka Abad; Jing Xu 028; Martha A. Larson; Stjepan Picek (CoRR, 2023)

ELMs Under Siege: A Study on Backdoor Attacks on Extreme Learning Machines. - Behrad Tajalli; Stefanos Koffas; Gorka Abad; Stjepan Picek (AISec@CCS, 2024)

Universal Soldier: Using Universal Adversarial Perturbations for Detecting Backdoor Attacks. - Xiaoyun Xu; Oguzhan Ersoy; Behrad Tajalli; Stjepan Picek (DSN-W, 2024)

Short Paper: Effects of Poisoning Attacks on Causal Deep Reinforcement Learning. - Patrick Lodeweegs; Behrad Tajalli; Stjepan Picek (ESORICS Workshops (2), 2024)

Backdoors on Manifold Learning. - Christina Kreza; Stefanos Koffas; Behrad Tajalli; Mauro Conti; Stjepan Picek (WiseML@WiSec, 2024)