Alignment, interpretability, red-teaming, bias and privacy: the research on what these systems do when they misbehave.
arXiv:2611.06432v1 Announce Type: cross Abstract: Reliable channel estimation and symbol detection in 5G New Radio (NR), as well as emerging 6G radio systems, rely on demodulation reference signals (...
arXiv:2611.06582v1 Announce Type: cross Abstract: Deep neural networks train best when they are initialised at the edge of chaos, the critical line in the plane of weight and bias variances on which...
arXiv:2611.06653v1 Announce Type: cross Abstract: A robot action can satisfy shape and range constraints yet carry the wrong semantics: axes may be permuted, signs inverted, rotations rescaled, or gr...
arXiv:2611.06802v1 Announce Type: cross Abstract: Hamilton-Jacobi (HJ) Reachability identifies the unsafe states of a dynamical system from which it can be forced into failure under worst-case distur...
arXiv:2611.06819v1 Announce Type: cross Abstract: Choosing a quantum error-correcting code for a real device means scoring candidates with circuit-level simulations so slow that only a few hundred ca...
arXiv:2611.06830v1 Announce Type: cross Abstract: Current generative AI alignment relies on a myopic paradigm that prioritizes immediate conversational satisfaction. By relying on short-horizon feedb...
arXiv:2404.17144v3 Announce Type: replace Abstract: The response time of a biosensor is a crucial metric in safety-critical applications such as medical diagnostics where an earlier diagnosis can mar...
arXiv:2502.06774v5 Announce Type: replace Abstract: Ensuring neural networks adhere to domain-specific constraints is crucial for addressing safety and trustworthiness while also enhancing inference...
arXiv:2601.06641v4 Announce Type: replace Abstract: Membership inference attacks (MIAs) pose a serious privacy threat in federated learning (FL). While MIAs have been extensively studied in standard...
arXiv:2602.04093v3 Announce Type: replace Abstract: Concept-based Models (CMs) enhance interpretability in deep learning by grounding predictions in human-understandable concepts. However, concept an...
arXiv:2605.10822v2 Announce Type: replace Abstract: Cyber-physical system (CPS) forecasting models depend on sensor streams with noisy, biased, missing, or temporally misaligned readings, yet standar...
arXiv:2605.21849v2 Announce Type: replace Abstract: Mechanistic interpretability aims to explain a model's behavior by identifying causally responsible internal structures. Dictionary-based explainer...
arXiv:2606.23496v2 Announce Type: replace Abstract: Discrete text-trigger optimization -- searching for text sequences that, when ingested by a model, steer it toward a specified objective -- underpi...
arXiv:2610.38970v2 Announce Type: replace Abstract: Current and emerging mobile networks face increasing privacy, scalability, and performance challenges as distributed learning becomes essential for...
arXiv:2611.02170v2 Announce Type: replace Abstract: Diffusion models are often inaccurate in critical, data-sparse regions of the target distribution. Sampling from restrained distributions, biased d...
arXiv:2611.03623v2 Announce Type: replace Abstract: Non-invasive brain-to-text interfaces offer alternative communication pathways for people with communication disabilities. However, sentence-level...
arXiv:2611.04501v2 Announce Type: replace Abstract: Machine unlearning aims to erase the influence of a designated forget set from a trained model while preserving strong utility on the retain set. A...
arXiv:2611.04667v2 Announce Type: replace Abstract: Federated Learning (FL) enables collaborative training of machine learning models across distributed clients while preserving data privacy. In prac...
arXiv:2107.12636v5 Announce Type: replace-cross Abstract: Detection transformers have recently shown promising object detection results and attracted increasing attention. However, how to develop eff...
arXiv:2605.21139v4 Announce Type: replace-cross Abstract: Current end-to-end autonomous driving models are fundamentally constrained by the behavioral cloning ceiling of imitation learning. While rei...