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Regardless of the particular task we want them to perform in an environment, there are often shared safety constraints we want our agents to respect. For example, regardless of whether it is making a sandwich or clearing the table, a…

Machine Learning · Computer Science 2023-09-06 Konwoo Kim , Gokul Swamy , Zuxin Liu , Ding Zhao , Sanjiban Choudhury , Zhiwei Steven Wu

Data poisoning causes misclassification of test time target examples by injecting maliciously crafted samples in the training data. Existing defenses are often effective only against a specific type of targeted attack, significantly degrade…

Machine Learning · Computer Science 2022-10-19 Yu Yang , Tian Yu Liu , Baharan Mirzasoleiman

Information must take up space, must weigh, and its flux must be limited. Quantum limits on communication and information storage leading to these conclusions are here described. Quantum channel capacity theory is reviewed for both steady…

Quantum Physics · Physics 2015-06-26 Jacob D. Bekenstein , Marcelo Schiffer

As AI capabilities rapidly advance, the risk of catastrophic harm from large-scale training runs is growing. Yet the compute infrastructure that enables such development remains largely unregulated. This paper proposes a concrete framework…

When data is publicly released for human consumption, it is unclear how to prevent its unauthorized usage for machine learning purposes. Successful model training may be preventable with carefully designed dataset modifications, and we…

Computer Vision and Pattern Recognition · Computer Science 2021-07-02 Ivan Evtimov , Ian Covert , Aditya Kusupati , Tadayoshi Kohno

Active learning algorithms propose which unlabeled objects should be queried for their labels to improve a predictive model the most. We study active learners that minimize generalization bounds and uncover relationships between these…

Machine Learning · Computer Science 2017-06-09 Tom J. Viering , Jesse H. Krijthe , Marco Loog

Reinforcement Learning (RL) for control has become increasingly popular due to its ability to learn rich feedback policies that take into account uncertainty and complex representations of the environment. When considering safety…

Machine Learning · Computer Science 2024-05-21 Sean Vaskov , Wilko Schwarting , Chris L. Baker

We investigate the role of information in active feedback control of quantum many-body systems using reinforcement learning. Active feedback breaks detailed balance, enabling the engineering of steady states and dynamical phases of matter…

Quantum Physics · Physics 2025-08-12 Giovanni Cemin , Markus Schmitt , Marin Bukov

Unitary quantum theory, having no Born Rule, is non-probabilistic. Hence the notorious problem of reconciling it with the unpredictability and appearance of stochasticity in quantum measurements. Generalising and improving upon the…

Quantum Physics · Physics 2016-09-28 Chiara Marletto

The recent nuclear accident in Japan revealed the confusion and the inadequate knowledge of the citizens about the issues of nuclear energy, nuclear applications, radioactivity and their consequences In this work we present the first…

Physics Education · Physics 2020-06-08 Mirofora Pilakouta

In our comment we show that some of the very difficult problems have been successfully solved. We have to focus on the resolved problems, since the authors claims: Our hope, however, is that the topics we have presented will provide…

Strongly Correlated Electrons · Physics 2025-12-23 V. R. Shaginyan , A. Z. Msezane

This paper presents a novel autonomous robotic assembly framework for constructing stable structures without relying on predefined architectural blueprints. Instead of following fixed plans, construction tasks are defined through targets…

Robotics · Computer Science 2026-03-02 Jingwen Wang , Johannes Kirschner , Paul Rolland , Luis Salamanca , Stefana Parascho

Making learners robust to adversarial perturbation at test time (i.e., evasion attacks) or training time (i.e., poisoning attacks) has emerged as a challenging task. It is known that for some natural settings, sublinear perturbations in the…

Machine Learning · Computer Science 2018-11-07 Saeed Mahloujifar , Mohammad Mahmoody

Some have claimed that the future development of powerful AI systems would enable the United States to shift the international balance of power dramatically in its favor. Such a feat may not be technically possible; even so, if American AI…

Computers and Society · Computer Science 2026-02-23 L. C. R. Patell , O. E. Guest

In recent years, the creation of block-structured dictionary has attracted a lot of interest. Learning such dictionaries involve two step process: block formation and dictionary update. Both these steps are important in producing an…

Computer Vision and Pattern Recognition · Computer Science 2017-08-08 Nagendra Kumar , Rohit Sinha

Quantum communication offers unique features that have no classical analog, in particular, it enables provably secure quantum key distribution (QKD). Despite the benefits of quantum communication are well understood within the scientific…

Quantum Physics · Physics 2024-03-21 D. Sych , A. Kodukhov , V. Pastushenko , N. Kirsanov , D. Kronberg , M. Pflitsch

This is a brief analysis of the basic formula from arXiv:2007.07827. Some inconsistency has been identified.

High Energy Physics - Phenomenology · Physics 2021-01-13 V. A. Petrov

If you have a restless intellect, it is very likely that you have played at some point with the idea of investigating the meaning and conceptual foundations of quantum mechanics. It is also probable (albeit not certain) that your intentions…

Quantum Physics · Physics 2013-10-01 Pablo Echenique-Robba

At the latest since the advent of the Internet, disinformation and conspiracy theories have become ubiquitous. Recent examples like QAnon and Pizzagate prove that false information can lead to real violence. In this motivation statement for…

Human-Computer Interaction · Computer Science 2021-04-12 Hendrik Heuer

Large language models are finetuned to refuse questions about hazardous knowledge, but these protections can often be bypassed. Unlearning methods aim at completely removing hazardous capabilities from models and make them inaccessible to…

Machine Learning · Computer Science 2025-06-03 Jakub Łucki , Boyi Wei , Yangsibo Huang , Peter Henderson , Florian Tramèr , Javier Rando