4 citations · 13 across the 11 of their papers we have counts for
4 papers · 1 filter
Self-Adaptive and Robust Federated Spectrum Sensing without Benign Majority for Cellular Networks
Ngoc Duy Pham, Thusitha Dayaratne, Viet Vo +5
Advancements in wireless and mobile technologies, including 5G advanced and the envisioned 6G, are driving exponential growth in wireless devices. However, this rapid expansion exa…
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack
Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe
We study the unique, less-well understood problem of generating sparse adversarial samples simply by observing the score-based replies to model queries. Sparse attacks aim to disco…
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models
Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe
Despite our best efforts, deep learning models remain highly vulnerable to even tiny adversarial perturbations applied to the inputs. The ability to extract information from solely…
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit
Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe
Machine learning models are critically susceptible to evasion attacks from adversarial examples. Generally, adversarial examples, modified inputs deceptively similar to the origina…