| 1. | Beyond Trust: Proving Fairness and Privacy in Machine Learning | 1 | |
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| 2. | Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data? | 1 | |
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| 3. | Leveraging Per-Instance Privacy for Machine Unlearning | 1 | |
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| 4. | Hash Functions: Bridging the Gap from Theory to Practice | 32 | |
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| 5. | Private Adaptations of Large Language Models | 3 | |
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| 6. | Disparate Privacy Risks from Medical AI - An Investigation into Patient-level Privacy Risk | 0 | |
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| 7. | Stable Estimators for Fast Private Statistics | 1 | |
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| 8. | Supply Chain Security with Go | 31 | |
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| 9. | Privacy Auditing of Large Language Models | 2 | |
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| 10. | Streaming Private Continual Counting via Binning | 2 | |
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| 11. | Threat Models for Memorization: Privacy, Copyright, and Everything In-Between | 3 | |
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| 12. | Persistent Pre-Training Poisoning of LLMs | 3 | |
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| 13. | Is Learning Effective in Dynamic Strategic Interactions? Evidence from Stackelberg Games | 9 | |
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| 14. | The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage | 1 | |
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| 15. | Cascading Adversarial Bias from Injection to Distillation in Language Models | 1 | |
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| 16. | Watermarking in Generative AI: Opportunities and Threats | 4 | |
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| 17. | Algorithmic Contract Design | 8 | |
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| 18. | How Much Do Language Models Memorize? | 5 | |
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| 19. | Go Meetup April 2025 - Go Protobuf | 21 | |
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| 20. | How I Wrote 10K Lines of Go in a Weekend | 53 | |
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| 21. | Go Meetup April 2025 - Whats New in Go 1.24? | 18 | |
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| 22. | Understanding LLMs Like Physicists: Observation, Hypothesis, Experimentation, and Prediction | 26 | |
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| 23. | Differentially Private Prototypes for Imbalanced Transfer Learning | 5 | |
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| 24. | Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty | 32 | |
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| 25. | Theoretical Limitations of Multi layer Transformers | 25 | |
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| 26. | The Limits and Possibilities of One Run Auditing | 1 | |
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| 27. | Go Meetup April 2025 - Git Bisect and Go Size Analyzer | 10 | |
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| 28. | A Multi Dimensional Online Contention Resolution Scheme | 11 | |
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| 29. | Differentially Private Synthetic Data without Training | 1 | |
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| 30. | LLM Dataset Inference: Did you train on my dataset? | 26 | |
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| 31. | Worst-Case Membership Inference of Language Models | 1 | |
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| 32. | Online Learning and Economics | 6 | |
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| 33. | Evaluating Data Misuse in LLMs: Introducing Adversarial Compression Rate as a Metric of Memorization | 2 | |
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| 34. | Going Back and Beyond: Emerging (Old) Threats in LLM Privacy and Poisoning | 6 | |
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| 35. | Optimistic Verifiable Training by Controlling Hardware Nondeterminism | 3 | |
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| 36. | Continual Release Moment Estimation with Differential Privacy | 2 | |
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| 37. | Go Meetup April 2025 - i18n Go Experiment | 17 | |
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| 38. | Streaming Attention Approximation via Discrepancy Theory | 12 | |
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| 39. | Chasing the Constants and its Implications in Differential Privacy | 1 | |
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| 40. | POPri: Private Federated Learning using Preference-Optimized Synthetic Data | 4 | |
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| 41. | Differentially Private Multiway and k-Cut | 3 | |
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| 42. | Go Meetup April 2025 - Photobooth | 14 | |
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| 43. | Cascading Adversarial Bias from Injection to Distillation in Language Models | 3 | |
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| 44. | Code Health Guardian | 38 | |
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| 45. | AI Snake Oil | 43 | |
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| 46. | Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training | 2 | |
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| 47. | Secure Federated Learning on Wimpy Devices | 0 | |
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| 48. | Coaching Series: Leading from Strength: Making a Difference | 0 | |
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| 49. | A Regret Analysis of Bilateral Trade | 0 | |
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| 50. | A Geometric View on Private Gradient-Based Optimization | 0 | |
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| 51. | 2011 Frontiers of Engineering: Accelerating Green Building Market Transformation with IT | 0 | |
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| 52. | Greybeard Qualification (Linux Internals) part 4: Startup and Init | 0 | |
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| 53. | 2022 Blockly Developers Summit: Serialization | 0 | |
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| 54. | Google Workshop on Federated Learning and Analytics: Breakout Session Closing Summaries | 0 | |
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| 55. | What Is Your Provenance? | 0 | |
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| 56. | GTAC 2014: Maintaining Sanity In A Hypermedia World | 0 | |
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| 57. | AGU Scientists Tech Talks | 0 | |
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| 58. | Markets and the Primal-Dual Paradigm | 0 | |
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| 59. | Testing Metro Wifi | 0 | |
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| 60. | Tight Accounting in the Shuffle Model of Differential Privacy | 0 | |
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| 61. | Universally Accessible Demands Accessibility for All of... | 0 | |
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| 62. | Coaching Series: Advancing Toward Your Dreams & Goals: Exerc | 0 | |
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| 63. | Selling Interest by the Eye Ball | 0 | |
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| 64. | AutoTest: Push-button testing using contracts | 0 | |
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| 65. | 2023 Blockly Developer Summit DAY 1-7: Cubi - Extending Blockly for Teachers | 1 | |
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| 66. | CoinPress: Practical Private Mean and Covariance Estimation | 0 | |
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| 67. | Academic Keynote: Differentially Private Covariance-Adaptive Mean Estimation, Adam Smith (BU) | 0 | |
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| 68. | Academic Keynote: Mean Estimation with User-level Privacy under Data Heterogeneity, Rachel Cummings | 0 | |
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| 69. | A perceptual space that can explain the robustness of... | 0 | |
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| 70. | GTAC 2016: Day 2 Opening Remarks | 0 | |
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| 71. | Distributed continuous quality assurance | 0 | |
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| 72. | The Gugubarra Project: Building and Evaluating User... | 0 | |
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| 73. | Leveraging Public Data for Practical Synthetic Data Generation | 0 | |
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| 74. | Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogenous Data | 0 | |
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| 75. | "I need a better description": An Investigation Into User Expectations For Differential Privacy | 0 | |
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| 76. | The New "Bill Of Rights of Information Society" | 0 | Guide |
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| 77. | Our Lives, Our Facebooks | 0 | |
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| 78. | CaPC Learning: Confidential and Private Collaborative Learning | 0 | |
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| 79. | Web Applications and the Ubiquitous Web | 0 | |
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| 80. | BillMonk.com | 0 | |
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| 81. | Towards Training Provably Private Models via Federated Learning in Practice | 0 | |
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| 82. | Combining Discriminative Features to Infer Complex... | 0 | |
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| 83. | There are People in our Computers! | 0 | |
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| 84. | Turning Email Upside Down: RSS/Email and IM2000 | 0 | |
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| 85. | Effective Approaches to Video Search and Classification | 0 | |
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| 86. | E-Sourcing: Impact of Non-Price Attributes Strategic... | 0 | |
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| 87. | WebInsight Making Web Images Accessible | 0 | |
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| 88. | 2023 Blockly Developer Summit Day 1-8: Blocks in Docs | 0 | |
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| 89. | Coaching Series: Create the Career You Want: A Non-Hyped App | 0 | |
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| 90. | On the Convergence of Deep Learning with Differential Privacy | 0 | |
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| 91. | Net and the City | 0 | |
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| 92. | Scalable Learning and Inference in Hierarchical Models of... | 0 | |
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| 93. | Efficient Exploration in Bayesian Optimization – Optimism and Beyond by Andreas Krause | 0 | |
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| 94. | Greybeard Qualification (Linux Internals) part 3: Memory Management | 0 | |
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| 95. | User Classification For Informal Online Politcal Discourse | 0 | |
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| 96. | Internet Scale Identity, Collaboration, and Higher Education | 0 | |
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| 97. | INSTEDD and Google.org-Helping to Change the Way the... | 0 | Let's Play |
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| 98. | FIRST LEGO League Nano Quest Challenge Kickoff | 0 | |
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| 99. | Efficient Differentially Private Averaging w Trusted Curator Utility Robustness to Malicious Parties | 0 | |
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| 100. | Workshop on Federated Learning & Analytics: Pre-recorded Talks Day 1 Track 2 Q&A Privacy/Security | 0 | |
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