Timothy Mann

1. On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models
   2018/10/30 by Sven Gowal, Gowal, Sven, Krishnamurthy Dvijotham +15 · 94 citations
   Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Machine Learning and Algorithms #Fault Detection and Control Systems
2. Deep Reinforcement Learning in Large Discrete Action Spaces
   2015/12/24 by Gabriel Dulac-Arnold, Dulac-Arnold, Gabriel, Richard Evans +17 · 21 citations
   Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #cs.AI #cs.LG #cs.NE #stat.ML
3. Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
   2020/10/07 by Sven Gowal, Gowal, Sven, Chongli Qin +7 · 35 citations
   Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Physical Unclonable Functions (PUFs) and Hardware Security
4. Data Augmentation Can Improve Robustness
   2021/11/09 by Sylvestre-Alvise Rebuffi, Sven Gowal, Rebuffi, Sylvestre-Alvise +9 · 27 citations
   Computer Science · Medicine · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging Techniques and Applications
5. A Dual Approach to Scalable Verification of Deep Networks
   2018/03/17 by Krishnamurthy, Dvijotham, Robert Stanforth +7 · 35 citations
   Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Physical Unclonable Functions (PUFs) and Hardware Security #Integrated Circuits and Semiconductor Failure Analysis
6. Improving Robustness using Generated Data
   2021/10/18 by Sven Gowal, Sylvestre-Alvise Rebuffi, Gowal, Sven +9 · 16 citations
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. A Bayesian Approach to Robust Reinforcement Learning
   2019/05/20 by Esther Derman, Derman, Esther, Daniel J. Mankowitz +5 · 1 voice · 5 citations
   Computer Science · Engineering · #Advanced Control Systems Optimization #Artificial Intelligence (cs.AI) #Control Systems and Identification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
8. Fixing Data Augmentation to Improve Adversarial Robustness
   2021/03/02 by Sylvestre-Alvise Rebuffi, Sven Gowal, Rebuffi, Sylvestre-Alvise +9 · 16 citations
   Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. Robust Reinforcement Learning for Continuous Control with Model Misspecification
   2019/06/18 by Daniel J. Mankowitz, Nir Levine, Mankowitz, Daniel J. +17 · 8 citations
   Computer Science · #Adaptive Dynamic Programming Control #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
10. Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification
    2020/10/20 by Daniel J. Mankowitz, Mankowitz, Daniel J., Dan A. Calian +13 · 5 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Real-Time Systems Scheduling #Reinforcement Learning in Robotics #Smart Grid Energy Management
11. Beyond Greedy Ranking: Slate Optimization via List-CVAE
    2018/03/05 by Ray Jiang, Sven Gowal, Jiang, Ray +5 · 6 citations
    Computer Science · Decision Sciences · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multi-Criteria Decision Making #Rough Sets and Fuzzy Logic
12. Soft-Robust Actor-Critic Policy-Gradient
    2018/03/11 by Esther Derman, Derman, Esther, Daniel J. Mankowitz +5 · 4 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Simulation Techniques and Applications
13. An Alternative Surrogate Loss for PGD-based Adversarial Testing
    2019/10/21 by Sven Gowal, Gowal, Sven, Jonathan Uesato +9 · 9 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
14. Defending Against Image Corruptions Through Adversarial Augmentations
    2021/04/02 by Dan A. Calian, Florian Stimberg, Calian, Dan A. +11 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
15. MuZero with Self-competition for Rate Control in VP9 Video Compression
    2022/02/14 by Amol Mandhane, Anton Zhernov, Mandhane, Amol +37 · 1 voice · 1 citation
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Advanced Wireless Network Optimization #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Video Coding and Compression Technologies #cs.CV #cs.LG #eess.IV #electronic engineering #information engineering
16. Achieving Robustness in the Wild via Adversarial Mixing with\n Disentangled Representations
    2019/12/06 by Sven Gowal, Chongli Qin, Gowal, Sven +10 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Generative Adversarial Networks and Image Synthesis #Anomaly Detection Techniques and Applications