We present a quantum-assisted data authentication protocol that integrates classical information-theoretic security with quantum communication techniques. We assume only that the participants have access to open classical and quantum channels, and share a random static key material. Building on the Wegman–Carter paradigm, our scheme employs universal hashing for message authentication and leverages quantum channels to securely transmit random nonces, eliminating the need for key recycling. The protocol utilizes polar codes within Wyner’s wiretap channel model to ensure confidentiality and reliability, even in the presence of an all-powerful adversary. Security analysis demonstrates that the protocol inherits strong guarantees from both classical and quantum frameworks, provided the quantum channel maintains low loss and noise.
a2079-9292 01850nas a2200121 4500000000100000000000100001008004100002100001800043700002300061700002000084245008900104520153500193 2025 d 1 aAnna Zawadzka 1 aPrzemysław Głomb 1 aMateusz Żarski 00 aDevelopment of an effective method for detecting small buildings in satellite images 3 aDetecting and monitoring small-scale buildings is a critical challenge in various sectors and can be crucial for various important tasks. Buildings considered small are those with a footprint smaller than 10 × 10 meters, a definition justified by the resolution of Sentinel-2 images, which is 10 meters at best. Examples of tasks for which small building detection is essential include assessment and monitoring of damage caused by natural disasters or war, identification of illegal settlements, detecting new buildings in key military areas, and identification of structures in protected areas. Regrettably, widely available satellite imagery, such as Sentinel-2, provides very limited spatial resolution, making it impossible to efficiently detect small structures. Despite its importance, this issue remains unexplored, with very limited research directly concerning building segmentation and detecting small structures. Traditional segmentation and classification methods exhibit severe limitations, particularly due to small buildings frequently being positioned at pixel boundaries, essentially occupying an insignificant fraction of the original pixel. Additionally, in the context of buildings in complex environments (e.g., surrounded by vegetation or shadows), popular methods such as U-Net with ResNet often fail to deliver reliable results. In this study, we propose a novel approach to this issue by integrating a state-of-the-art object detection model with a deep-learning-based super-resolution network.
00365nas a2200145 4500000000100000000000100001008004100002100001800043700002000061700001700081700002300098700002400121700002000145245005400165 2026 d 1 aAnna Zawadzka 1 aMateusz Żarski 1 aKamil Drejer 1 aPrzemysław Głomb 1 aMichał Romaszewski 1 aMichał Cholewa 00 a Map-Guided Cross-Training for Building Detection 01085nas a2200109 4500000000100000008004100001260001200042100001800054700002300072245007500095520080500170 2026 d c04/2026 1 aAnna Zawadzka 1 aPrzemysław Głomb 00 aArchitecture Matters: Gender Disparities in Automated Image Moderation 3 aAutomated image moderation systems shape online visibility and dataset curation, yet prior work has identified demographic disparities in similarity-based NSFW classifiers. We compare such systems with instruction-tuned vision-language models (VLMs) that generate structured moderation decisions with textual rationales. Using the PHASE-annotated subset of the GCC dataset, we compute false positive rates overall and by gender.
Results show substantial variation in moderation strictness and in bias direction: two models show more pronounced strictness in moderation of male images, while other two exhibit higher removal rates for female images.
Reasoning-based models do not consistently mitigate bias but, in the proposed pipeline, they offer a transparency layer.
We present a quantum-assisted protocol that provides a confidential data channel under the assumption of pre-shared keys. The pre-shared key can be reused across multiple sessions, reducing the cost of fresh key generation. The protocol does not require an authenticated classical feedback channel during execution. Confidentiality is ensured by the physical properties of quantum states and information-theoretic preprocessing using polar codes within the Wyner wiretap framework. The construction avoids entanglement and quantum memories, enabling deployment with current hardware. Due to the physics of quantum communication, the protocol is point-to-point with limited throughput, but is suitable for high-assurance, moderate-rate applications.
00582nas a2200193 4500000000100000008004100001100002400042700001700066700002500083700001800108700002500126700002300151700002000174700002300194700002100217700002400238700001600262245011000278 2026 d 1 aMichał Romaszewski 1 aKamil Drejer 1 aKatarzyna Kołodziej 1 aAnna Zawadzka 1 aStanisław Lewiński 1 aPrzemysław Głomb 1 aMarek Ruciński 1 aMichał Krupiński 1 aKrzysztof Gryguc 1 aPrzemysław Sekuła 1 aSzymon Sala 00 aToward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types