Tobias J. Oechtering

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 133

Top Venues

CoRR

ISIT

ITW

IEEE Trans. Inf. Theory

Publications

Sara Saeidian, Leonhard Grosse, Parastoo Sadeghi, Mikael Skoglund, Tobias J. Oechtering
Information Density Bounds for Privacy. CoRR (2024)
Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund
Chained Information-Theoretic bounds and Tight Regret Rate for Linear Bandit Problems. CoRR (2024)
Mengyuan Zhao, Maël Le Treust, Tobias J. Oechtering
Coordination Coding with Causal Encoder for Vector-valued Witsenhausen Counterexample. CoRR (2024)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
On the Privacy-Utility Trade-Off With and Without Direct Access to the Private Data. IEEE Trans. Inf. Theory 70 (3) (2024)
Leonhard Grosse, Sara Saeidian, Parastoo Sadeghi, Tobias J. Oechtering, Mikael Skoglund
Quantifying Privacy via Information Density. CoRR (2024)
Sara Saeidian, Tobias J. Oechtering, Mikael Skoglund
Evaluating Differential Privacy on Correlated Datasets Using Pointwise Maximal Leakage. APF (2024)
Maël Le Treust, Tobias J. Oechtering
Power-Estimation Trade-Off of Vector-Valued Witsenhausen Counterexample With Causal Decoder. IEEE Trans. Inf. Theory 70 (3) (2024)
Ramana R. Avula, Tobias J. Oechtering, Daniel Månsson
Adversarial Inference Control in Cyber-Physical Systems: A Bayesian Approach With Application to Smart Meters. IEEE Access 12 (2024)
Amirreza Zamani, Sajad Daei, Tobias J. Oechtering, Mikael Skoglund
Multi-Task Private Semantic Communication. CoRR (2024)
Yiqi Chen, Tobias J. Oechtering, Holger Boche, Mikael Skoglund, Yuan Luo
Distribution-Preserving Integrated Sensing and Communication with Secure Reconstruction. CoRR (2024)
Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund
Private Variable-Length Coding with Sequential Encoder. CoRR (2023)
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Pointwise Maximal Leakage on General Alphabets. ISIT (2023)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
New Privacy Mechanism Design With Direct Access to the Private Data. CoRR (2023)
Yang You, Zuxing Li, Tobias J. Oechtering
Non-Cooperative Games for Privacy-Preserving and Cost-Efficient Smart Grid Energy Management. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Inferential Privacy: From Impossibility to Database Privacy. CoRR (2023)
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Pointwise Maximal Leakage. IEEE Trans. Inf. Theory 69 (12) (2023)
Hamid Ghourchian, Tobias J. Oechtering, Mikael Skoglund
Secure Block Joint Source-Channel Coding with Sequential Encoding. ISIT (2023)
Hamid Ghourchian, Tobias J. Oechtering, Mikael Skoglund
Secure Block Joint Source-Channel Coding with Sequential Encoding. CoRR (2023)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Private Variable-Length Coding with Non-Zero Leakage. WIFS (2023)
Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund
Thompson Sampling Regret Bounds for Contextual Bandits with sub-Gaussian rewards. ISIT (2023)
Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund
Private Variable-Length Coding with Zero Leakage. CoRR (2023)
Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund
Cache-Aided Private Variable-Length Coding with Zero and Non-Zero Leakage. CoRR (2023)
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Pointwise Maximal Leakage on General Alphabets. CoRR (2023)
Yiqi Chen, Tobias J. Oechtering, Mikael Skoglund, Yuan Luo
On Strong Secrecy for Multiple Access Channels with States and Causal CSI. CoRR (2023)
Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund
Thompson Sampling Regret Bounds for Contextual Bandits with sub-Gaussian rewards. CoRR (2023)
Yiqi Chen, Tobias J. Oechtering, Mikael Skoglund, Yuan Luo
On General Capacity-Distortion Formulas of Integrated Sensing and Communication. CoRR (2023)
Yang You, Tobias J. Oechtering
Time-Adaptive Expectation Maximization Learning Framework for HMM Based Data-Driven Gas Sensor Calibration. IEEE Trans. Ind. Informatics 19 (7) (2023)
Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund
Private Variable-Length Coding with Zero Leakage. WIFS (2023)
Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund
Cache-Aided Private Variable-Length Coding with Zero and Non-Zero Leakage. WiOpt (2023)
Yiqi Chen, Tobias J. Oechtering, Mikael Skoglund, Yuan Luo
On Strong Secrecy for Multiple Access Channel with States and Causal CSI. CoRR (2023)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Private Variable-Length Coding with Non-zero Leakage. CoRR (2023)
Leonhard Grosse, Sara Saeidian, Tobias J. Oechtering
Extremal Mechanisms for Pointwise Maximal Leakage. CoRR (2023)
Yiqi Chen, Tobias J. Oechtering, Mikael Skoglund, Yuan Luo
On Strong Secrecy for Multiple Access Channel with States and causal CSI. ISIT (2023)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Multi-User Privacy Mechanism Design with Non-zero Leakage. ITW (2023)
Ramana R. Avula, Tobias J. Oechtering
Privacy-Enhancing Appliance Filtering For Smart Meters. ICASSP (2022)
Yicheng Bao, Linghui Zhou, Tobias J. Oechtering
Proof-of-Concept of Polar Codes for Biometric Identification and Authentication. WIFS (2022)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Multi-User Privacy Mechanism Design with Non-zero Leakage. CoRR (2022)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Bounds for Privacy-Utility Trade-off with Per-letter Privacy Constraints and Non-zero Leakage. ITW (2022)
Maël Le Treust, Tobias J. Oechtering
Power-Estimation Trade-off of Vector-valued Witsenhausen Counterexample with Causal Decoder. CoRR (2022)
Dominik Fay, Jens Sjölund, Tobias J. Oechtering
Private Learning Via Knowledge Transfer with High-Dimensional Targets. ICASSP (2022)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
On the Privacy-Utility Trade-off With and Without Direct Access to the Private Data. CoRR (2022)
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Pointwise Maximal Leakage. CoRR (2022)
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Pointwise Maximal Leakage. ISIT (2022)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Data Disclosure With Non-Zero Leakage and Non-Invertible Leakage Matrix. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Bounds for Privacy-Utility Trade-off with Per-letter Privacy Constraints and Non-zero Leakage. CoRR (2022)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Bounds for Privacy-Utility Trade-off with Non-zero Leakage. ISIT (2022)
Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund
An Information-Theoretic Analysis of Bayesian Reinforcement Learning. CoRR (2022)
Linghui Zhou, Tobias J. Oechtering, Mikael Skoglund
Fundamental Limits-Achieving Polar Code Designs for Biometric Identification and Authentication. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Linghui Zhou, Tobias J. Oechtering, Mikael Skoglund
Uncertainty in Biometric Identification and Authentication Systems with Strong Secrecy. Allerton (2022)
Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund
An Information-Theoretic Analysis of Bayesian Reinforcement Learning. Allerton (2022)
Yang You, Kai You, Hao Chen, Tobias J. Oechtering
On Data-Driven Self-Calibration for IoT-Based Gas Concentration Monitoring Systems. IEEE Internet Things J. 9 (15) (2022)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Bounds for Privacy-Utility Trade-off with Non-zero Leakage. CoRR (2022)
Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund, Holger Boche
Uncertainty in Identification Systems. IEEE Trans. Inf. Theory 67 (3) (2021)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
A Design Framework for Strongly χ²-Private Data Disclosure. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund
Hypothesis Testing and Identification Systems. IEEE Trans. Inf. Theory 67 (6) (2021)
Hamid Ghourchian, Photios A. Stavrou, Tobias J. Oechtering, Mikael Skoglund
Secure Block Source Coding with Sequential Encoding. CoRR (2021)
Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
(ϵ, n) Fixed-Length Strong Coordination Capacity. ITW (2021)
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Optimal Maximal Leakage-Distortion Tradeoff. CoRR (2021)
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Quantifying Membership Privacy via Information Leakage. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Maël Le Treust, Tobias J. Oechtering
Continuous Random Variable Estimation is not Optimal for the Witsenhausen Counterexample. ISIT (2021)
Maël Le Treust, Tobias J. Oechtering
Continuous Random Variable Estimation is not Optimal for the Witsenhausen Counterexample. CoRR (2021)
Yang You, Zuxing Li, Tobias J. Oechtering
Energy Management Strategy for Smart Meter Privacy and Cost Saving. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Data Disclosure with Non-zero Leakage and Non-invertible Leakage Matrix. CoRR (2021)
Linghui Zhou, Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund
Privacy-Preserving Identification Systems With Noisy Enrollment. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Hamid Ghourchian, Photios A. Stavrou, Tobias J. Oechtering, Mikael Skoglund
Secure Source Coding with Side-information at Decoder and Shared Key at Encoder and Decoder. ITW (2021)
Ramana R. Avula, Jun-Xing Chin, Tobias J. Oechtering, Gabriela Hug, Daniel Månsson
Design Framework for Privacy-Aware Demand-Side Management With Realistic Energy Storage Model. IEEE Trans. Smart Grid 12 (4) (2021)
Linghui Zhou, Tobias J. Oechtering, Mikael Skoglund
Incremental Design of Secure Biometric Identification and Authentication. ISIT (2021)
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Optimal Maximal Leakage-Distortion Tradeoff. ITW (2021)
Hamid Ghourchian, Photios A. Stavrou, Tobias J. Oechtering, Mikael Skoglund
Secure Source Coding with Side-information at Decoder and Shared Key at Encoder and Decoder. CoRR (2021)
Hamid Ghourchian, Photios A. Stavrou, Tobias J. Oechtering, Mikael Skoglund
Secure Block Source Coding With Sequential Encoding. IEEE J. Sel. Areas Inf. Theory 2 (1) (2021)
Linghui Zhou, Tobias J. Oechtering, Mikael Skoglund
Polar Codes for Biometric Identification and Authentication. ITW (2021)
Jaya Prakash Champati, Ramana R. Avula, Tobias J. Oechtering, James Gross
Minimum Achievable Peak Age of Information Under Service Preemptions and Request Delay. IEEE J. Sel. Areas Commun. 39 (5) (2021)
Linghui Zhou, Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund
Two-Stage Biometric Identification Systems Without Privacy Leakage. IEEE J. Sel. Areas Inf. Theory 2 (1) (2021)
Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
(ε, n) Fixed-Length Strong Coordination Capacity. CoRR (2021)
Ramana R. Avula, Tobias J. Oechtering
On Design of Optimal Smart Meter Privacy Control Strategy Against Adversarial Map Detection. ICASSP (2020)
Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Remote Joint Strong Coordination and Reliable Communication. ISIT (2020)
Jaya Prakash Champati, Ramana R. Avula, Tobias J. Oechtering, James Gross
On the Minimum Achievable Age of Information for General Service-Time Distributions. CoRR (2020)
Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Remote Joint Strong Coordination and Reliable Communication. CoRR (2020)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Data Disclosure Mechanism Design with Non-zero Leakage. ITW (2020)
Jaya Prakash Champati, Ramana R. Avula, Tobias J. Oechtering, James Gross
On the Minimum Achievable Age of Information for General Service-Time Distributions. INFOCOM (2020)
Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund
Hierarchical Identification With Pre-Processing. IEEE Trans. Inf. Theory 66 (1) (2020)
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Quantifying Membership Privacy via Information Leakage. CoRR (2020)
Ramana R. Avula, Tobias J. Oechtering
Optimal privacy-by-design strategy for user demand shaping in smart grids. ISGT (2020)
Dominik Fay, Jens Sjölund, Tobias J. Oechtering
Decentralized Differentially Private Segmentation with PATE. CoRR (2020)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
A Design Framework for Epsilon-Private Data Disclosure. CoRR (2020)
Yang You, Anran Xu, Tobias J. Oechtering
Belief Function Fusion based Self-calibration for Non-dispersive Infrared Gas Sensor. IEEE SENSORS (2020)
Yang You, Tobias J. Oechtering
Hidden Markov Model Based Data-driven Calibration of Non-dispersive Infrared Gas Sensor. EUSIPCO (2020)
Yang You, Tobias J. Oechtering
Online Energy Management Strategy Design for Smart Meter Privacy Against FHMM-based NILM. SmartGridComm (2020)
Phuong Le Cao, Tobias J. Oechtering
Optimal Transmit Strategies for Gaussian MISO Wiretap Channels. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Zuxing Li, Tobias J. Oechtering, Deniz Gündüz
Privacy Against a Hypothesis Testing Adversary. IEEE Trans. Inf. Forensics Secur. 14 (6) (2019)
Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Fixed-Length Strong Coordination. ITW (2019)
Hamid Ghourchian, Photios A. Stavrou, Tobias J. Oechtering, Mikael Skoglund
Block Source Coding with Sequential Encoding. ITW (2019)
Linghui Zhou, Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund
Fundamental Limits for Biometric Identification Systems without Privacy Leakage. Allerton (2019)
Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund
Operational Equivalence of Distributed Hypothesis Testing and Identification Systems. ISIT (2019)
Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Fixed-Length Strong Coordination. CoRR (2019)
Moritz Wiese, Tobias J. Oechtering, Karl Henrik Johansson, Panagiotis Papadimitratos, Henrik Sandberg, Mikael Skoglund
Secure Estimation and Zero-Error Secrecy Capacity. IEEE Trans. Autom. Control. 64 (3) (2019)
Tobias J. Oechtering, Maël Le Treust
Coordination Coding with Causal Decoder for Vector-valued Witsenhausen Counterexample Setups. ITW (2019)
Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund
Gaussian Hierarchical Identification with Pre-processing. DCC (2018)
Rami Mochaourab, Tobias J. Oechtering
Private Filtering for Hidden Markov Models. IEEE Signal Process. Lett. 25 (6) (2018)
Zuxing Li, Tobias J. Oechtering
Privacy-Utility Management of Hypothesis Tests. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tobias J. Oechtering