research note
This paper addresses the problem of perfect Lp sampling in turnstile data streams, focusing on vectors x∈{−poly(n),...,poly(n)}^n updated by turnstile operations, and sampling indices with exact pr…
research note
This paper studies a failure mode the authors call “confusion” for multimodal large language models (MLLMs): instead of trying to make the model follow a malicious instruction or predict the wrong …
research note
DLADiff addresses a gap that most prior anti-customization work leaves open: defenses for diffusion-model fine-tuning existed, but zero-shot identity customization (for example, FaceID-style method…
research note
This paper studies how Active Queue Management (AQM) algorithms influence modern speed test measurements, specifically metrics related to latency under load and throughput variability
research note
This paper tackles a concrete limitation in wireless foundation models: most prior WFMs are modality-specific, even though wireless systems expose multiple views of the same propagation event, incl…
research note
This paper asks a practical question that most text-only plagiarism detectors dodge: can we detect LLM-assisted academic dishonesty by looking at how the text was produced, not just the final prose…
research note
This paper addresses the increasing ineffectiveness of conventional human verification methods such as CAPTCHAs against advanced AI bots capable of solving visual puzzles, emulating typing behavior…
research note
This paper addresses online learning to rank under adversarially corrupted click feedback, modeled as cascading bandits
research note
This paper studies robust streaming algorithms under a novel adversarial model where the adversary is adaptive but memory constrained—either memoryless (no persistent memory) or low-memory (a small…
research note
This paper provides a comprehensive review and synthesis of the mathematical concepts of chaos, cantori, and turnstiles as they apply to magnetic field lines in toroidal fusion plasmas, specificall…
research note
This paper asks whether ANN and KDE sketches can be made truly sublinear in streaming settings without giving up useful approximation guarantees
research note
PassREfinder-FL tackles a practical problem that sits between pure detection and pure policy enforcement: how to predict which website pairs are likely to share reused passwords, so administrators …
