Smith, Adam
- Algorithmic Stability for Adaptive Data Analysis
2015/11/08 by Bassily, Raef, Nissim, Kobbi, Smith, Adam +3 · 6 citations
#Cryptography and Security (cs.CR) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams
2022/02/16 by Denisov, Sergey, McMahan, Brendan, Rush, Keith +2 · 7 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
2018/05/02 by Volz, Vanessa, Schrum, Jacob, Liu, Jialin +3 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
- Manipulation Attacks in Local Differential Privacy
2019/09/20 by Cheu, Albert, Smith, Adam, Ullman, Jonathan · 4 citations
#Cryptography and Security (cs.CR) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences
- Differentially Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds
2014/05/27 by Raef Bassily, Bassily, Raef, Adam Smith +3 · 3 citations
Computer Science · #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- Secure Multi-party Quantum Computing
2002/06/20 by Claude Crepeau, Daniel Gottesman, Crepeau, Claude +3 · 2 citations
Physics and Astronomy · #FOS: Physical sciences #Quantum Physics (quant-ph) #quant-ph
- Small Pseudo-Random Families of Matrices: Derandomizing Approximate Quantum Encryption
2004/04/13 by Andris Ambainis, Ambainis, Andris, Adam Smith +1 · 2 citations
Computer Science · Physics and Astronomy · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Physical sciences #Quantum Physics (quant-ph) #cs.CR #quant-ph
- The Structure of Optimal Private Tests for Simple Hypotheses
2018/11/27 by Canonne, Clément L., Kamath, Gautam, McMillan, Audra +2 · 3 citations
#Cryptography and Security (cs.CR) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Composition Attacks and Auxiliary Information in Data Privacy
2008/03/01 by Srivatsava Ranjit Ganta, Ganta, Srivatsava Ranjit, Shiva Prasad Kasiviswanathan +3 · 2 citations
Computer Science · Social Sciences · #Cryptography and Data Security #Cryptography and Security (cs.CR) #Databases (cs.DB) #FOS: Computer and information sciences #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data
- A Minimal Axio-dilaton Dark Sector
2024/10/14 by Adam Smith, Maria Mylova, Smith, Adam +9 · 2 voices · 4 citations
Engineering · #Optical Polarization and Ellipsometry #astro-ph.CO #gr-qc #hep-ph #hep-th
- CMB Implications of Multi-field Axio-dilaton Cosmology
2024/08/20 by Adam Smith, Maria Mylova, Smith, Adam +9 · 1 voice · 6 citations
Physics and Astronomy · #Astronomy and Astrophysical Research #Cosmology and Gravitation Theories #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Physical sciences #General Relativity and Quantum Cosmology (gr-qc) #High Energy Physics - Phenomenology (hep-ph) #High Energy Physics - Theory (hep-th) #Solar and Space Plasma Dynamics #astro-ph.CO #gr-qc #hep-ph #hep-th
- Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
2021/06/24 by Brown, Gavin, Gaboardi, Marco, Smith, Adam +2 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization
2018/05/25 by Woodworth, Blake, Wang, Jialei, Smith, Adam +2 · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Metalearning with Very Few Samples Per Task
2023/12/21 by Maryam Aliakbarpour, Aliakbarpour, Maryam, Konstantina Bairaktari +7 · 4 citations
Computer Science · #Machine Learning and ELM #Neural Networks and Applications
- Differentially Private Simple Linear Regression
2020/07/10 by Alabi, Daniel, McMillan, Audra, Sarathy, Jayshree +2 · 2 citations
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Non-parametric Differentially Private Confidence Intervals for the Median
2021/06/18 by Drechsler, Joerg, Globus-Harris, Ira, McMillan, Audra +2 · 2 citations
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Triangle Counting with Local Edge Differential Privacy
2023/05/03 by Eden, Talya, Liu, Quanquan C., Raskhodnikova, Sofya +1 · 3 citations
#Cryptography and Security (cs.CR) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences
- Efficient, Differentially Private Point Estimators
2008/09/27 by Adam Smith, Smith, Adam · 2 citations
Computer Science · Engineering · #Privacy-Preserving Technologies in Data #Cryptography and Data Security #Wireless Communication Security Techniques
- The Price of Differential Privacy under Continual Observation
2021/12/01 by Jain, Palak, Raskhodnikova, Sofya, Sivakumar, Satchit +1 · 2 citations
#Cryptography and Security (cs.CR) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences
- Sublinear Algorithms for Approximating String Compressibility
2007/06/08 by Raskhodnikova, Sofya, Ron, Dana, Rubinfeld, Ronitt +1 · 1 citation
#Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences
- Screened Axio-dilaton Cosmology: Novel Forms of Early Dark Energy
2025/05/08 by Smith, Adam, Brax, Philippe, van de Bruck, Carsten +2 · 6 citations
#Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Physical sciences #General Relativity and Quantum Cosmology (gr-qc) #High Energy Physics - Phenomenology (hep-ph) #High Energy Physics - Theory (hep-th)
- Instance-Optimal Differentially Private Estimation
2022/10/28 by Audra McMillan, Adam Smith, McMillan, Audra +3 · 2 citations
Computer Science · #Complexity and Algorithms in Graphs #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Statistics Theory (math.ST)
- Fully Adaptive Composition for Gaussian Differential Privacy
2022/10/31 by Smith, Adam, Thakurta, Abhradeep · 2 citations
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Differentially Private Sampling from Distributions
2022/11/15 by Raskhodnikova, Sofya, Sivakumar, Satchit, Smith, Adam +1 · 2 citations
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Efficient Lipschitz Extensions for High-Dimensional Graph Statistics and Node Private Degree Distributions
2015/04/29 by Sofya Raskhodnikova, Raskhodnikova, Sofya, Adam Smith +1 · 1 citation
Computer Science · Social Sciences · #Cryptography and Data Security #Cryptography and Security (cs.CR) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data
- Max-Information, Differential Privacy, and Post-Selection Hypothesis\n Testing
2016/04/13 by Ryan Rogers, Aaron Roth, Rogers, Ryan +5 · 1 citation
Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Wireless Communication Security Techniques
- Differentially Private Model Selection with Penalized and Constrained Likelihood
2016/07/14 by Jing Lei, Anne-Sophie Charest, Lei, Jing +7 · 1 citation
Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Methodology (stat.ME) #Privacy-Preserving Technologies in Data #Statistical Methods and Inference
- Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis
2019/06/21 by Rogers, Ryan, Roth, Aaron, Smith, Adam +3 · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares
2024/04/23 by Brown, Gavin, Hayase, Jonathan, Hopkins, Samuel +5 · 2 citations
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Private Graphon Estimation for Sparse Graphs
2015/06/19 by Christian Borgs, Borgs, Christian, Jennifer Chayes +3 · 1 citation
Computer Science · Mathematics · #Privacy-Preserving Technologies in Data #Statistical Methods and Inference #Complexity and Algorithms in Graphs
- Strong Memory Lower Bounds for Learning Natural Models
2022/06/09 by Gavin Brown, Brown, Gavin, Mark Bun +3 · 1 citation
Computer Science · #Algorithms and Data Compression #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
- The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD
2024/10/08 by Thomas Steinke, Steinke, Thomas, Milad Nasr +17 · 2 citations
Business, Management and Accounting · Decision Sciences · Economics, Econometrics and Finance · #Auction Theory and Applications #Cryptography and Security (cs.CR) #Digital Platforms and Economics #FOS: Computer and information sciences #Machine Learning (cs.LG) #Merger and Competition Analysis
- Noninteractive Locally Private Learning of Linear Models via Polynomial Approximations
2018/12/17 by Di Wang, Wang, Di, Adam Smith +3 · 2 citations
Computer Science · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Cryptography and Data Security
- Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions
2023/01/28 by Brown, Gavin, Hopkins, Samuel B., Smith, Adam · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Information, Privacy and Stability in Adaptive Data Analysis
2017/06/02 by Adam Smith, Smith, Adam · 1 citation
Computer Science · Mathematics · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Random Matrices and Applications
- The Serendipitous Axiodilaton: A Self-Consistent Recombination-Era Solution to the Hubble Tension
2025/12/15 by Adam Smith, Smith, Adam, Maria Mylova +7 · 2 voices · 1 citation
#astro-ph.CO #gr-qc #hep-ph #hep-th
- The Limits of Post-Selection Generalization
2018/06/15 by Kobbi Nissim, Adam Smith, Nissim, Kobbi +7 · 2 citations
Computer Science · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Privacy-Preserving Technologies in Data
- Asymptotic convergence of restarted Anderson acceleration for certain normal linear systems
2023/12/08 by Krzysik, Oliver A., De Sterck, Hans, Smith, Adam · 1 citation
#FOS: Mathematics #Numerical Analysis (math.NA)
- Privately Evaluating Untrusted Black-Box Functions
2025/03/25 by Ephraim Linder, Sofya Raskhodnikova, Linder, Ephraim +5 · 2 citations
Computer Science · Mathematics · #Benford’s Law and Fraud Detection #Computability, Logic, AI Algorithms #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences
- Auditing Privacy Mechanisms via Label Inference Attacks
2024/06/04 by Robert Busa-Fekete, Busa-Fekete, Róbert István, Travis Dick +9 · 1 citation
Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Privacy-Preserving Technologies in Data #Privacy, Security, and Data Protection
- Dynamical Dark Energy Meets Varying Electron Mass: Implications for Phantom Crossing and the Hubble Constant
2025/10/24 by Smith, Adam, Özülker, Emre, Di Valentino, Eleonora +1 · 5 citations
#Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #High Energy Physics - Theory (hep-th)
- The Sample Complexity of Membership Inference and Privacy Auditing
2025/08/26 by Haghifam, Mahdi, Smith, Adam, Ullman, Jonathan · 2 citations
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)