Sökning: "Tobias J. Oechtering"

Visar resultat 1 - 5 av 12 avhandlingar innehållade orden Tobias J. Oechtering.

  1. 1. Towards Realistic Smart Meter Privacy against Bayesian Inference

    Författare :Ramana Reddy Avula; Tobias J. Oechtering; Daniel Månsson; Mustafa A. Mustafa; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Smart meter privacy; Bayesian inference control; Energy storage model; Data-driven modeling; Privacy-enhancing mechanisms; Hidden Markov models; Co-living household energy dataset; Integritet för smarta elmätare; bayesiansk slutledningskontroll; energilagringsmodell; datadriven modellering; sekretessförbättrande mekanismer; dolda Markov-modeller; samlevande energidataset för hushåll; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Smart meters, now an essential component of modern power grids, allow energy providers to remotely monitor users' energy consumption in near real-time. While this technology offers numerous advantages for energy management and system efficiency, it also poses significant privacy concerns. LÄS MER

  3. 2. Towards Scalable Machine Learning with Privacy Protection

    Författare :Dominik Fay; Mikael Johansson; Tobias J. Oechtering; Jens Sjölund; Antti Honkela; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Privacy; Differential Privacy; Dimensionality Reduction; Image Segmentation; Hyperparameter Selection; Adaptive Optimization; Privacy Amplification; Importance Sampling; Maskininlärning; Dataskydd; Differentiell Integritet; Dimensionsreducering; Bildsegmentering; Hyperparameterurval; Adaptiv Optimering; Integritetsförstärkning; Importance Sampling; Datalogi; Computer Science; Informations- och kommunikationsteknik; Information and Communication Technology;

    Sammanfattning : The increasing size and complexity of datasets have accelerated the development of machine learning models and exposed the need for more scalable solutions. This thesis explores challenges associated with large-scale machine learning under data privacy constraints. LÄS MER

  4. 3. On Secure and Sequential Source Coding

    Författare :Hamid Ghourchian; Mikael Skoglund; Tobias J. Oechtering; Michèle Wigger; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Secure source coding is an important research area in recent years as it deals with the problem of transmitting sensitive information over insecure channels while protecting it from unauthorized access. This is particularly relevant in the context of modern communication systems where the data transmitted is often sensitive in nature and the threat of eavesdropping or data breaches is high. LÄS MER

  5. 4. Communication With Reconstruction and Privacy Constraints

    Författare :Kittipong Kittichokechai; Mikael Skoglund; Tobias J. Oechtering; Sennur Ulukus; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; source coding; channel coding; information privacy; physical layer security; action; side information; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Communication networks are an integral part of the Internet of Things (IoT) era. They enable endless opportunities for connectivity in a wide range of applications, leading to advances in efficiency of day-to-day life. While creating opportunities, they also incur several new challenges. LÄS MER

  7. 5. Pointwise Maximal Leakage : Robust, Flexible and Explainable Privacy

    Författare :Sara Saeidian; Tobias J. Oechtering; Mikael Skoglund; Giulia Cervia; Catuscia Palamidessi; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Privacy; information leakage; pointwise maximal leakage; disclosure prevention; inferential privacy; mechanism design.; Dataintegritet; informationsläckage; punktvist maximalt läckage; avslöjningsprevention; inferentiell dataintegritet; mekanismdesign.; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : For several decades now, safeguarding sensitive information from disclosure has been a key focus in computer science and information theory. Especially, in the past two decades, the subject of privacy has received significant attention due to the widespread collection and processing of data in various facets of society. LÄS MER