| 2026-02-02 | Code Health Guardian | 0:00 | 943 | |
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| 2026-01-27 | Going Back and Beyond: Emerging (Old) Threats in LLM Privacy and Poisoning | 0:00 | 314 | |
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| 2026-01-27 | Worst-Case Membership Inference of Language Models | 0:00 | 114 | |
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| 2026-01-27 | Disparate Privacy Risks from Medical AI - An Investigation into Patient-level Privacy Risk | 0:00 | 113 | |
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| 2026-01-27 | Stable Estimators for Fast Private Statistics | 0:00 | 79 | |
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| 2026-01-27 | Private Adaptations of Large Language Models | 0:00 | 164 | |
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| 2026-01-27 | POPri: Private Federated Learning using Preference-Optimized Synthetic Data | 0:00 | 160 | |
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| 2026-01-27 | Leveraging Per-Instance Privacy for Machine Unlearning | 0:00 | 122 | |
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| 2026-01-27 | Cascading Adversarial Bias from Injection to Distillation in Language Models | 0:00 | 78 | |
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| 2026-01-27 | Streaming Private Continual Counting via Binning | 0:00 | 84 | |
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| 2026-01-27 | Privacy Auditing of Large Language Models | 0:00 | 77 | |
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| 2026-01-27 | Persistent Pre-Training Poisoning of LLMs | 0:00 | 51 | |
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| 2026-01-27 | Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training | 0:00 | 87 | |
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| 2026-01-27 | Differentially Private Synthetic Data without Training | 0:00 | 55 | |
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| 2026-01-27 | Threat Models for Memorization: Privacy, Copyright, and Everything In-Between | 0:00 | 92 | |
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| 2026-01-27 | The Limits and Possibilities of One Run Auditing | 0:00 | 89 | |
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| 2026-01-26 | Differentially Private Multiway and k-Cut | 0:00 | 46 | |
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| 2026-01-26 | Beyond Trust: Proving Fairness and Privacy in Machine Learning | 0:00 | 32 | |
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| 2026-01-26 | Evaluating Data Misuse in LLMs: Introducing Adversarial Compression Rate as a Metric of Memorization | 0:00 | 32 | |
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| 2026-01-26 | The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage | 0:00 | 64 | |
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| 2026-01-26 | Watermarking in Generative AI: Opportunities and Threats | 0:00 | 64 | |
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| 2026-01-26 | Cascading Adversarial Bias from Injection to Distillation in Language Models | 0:00 | 35 | |
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| 2026-01-26 | Optimistic Verifiable Training by Controlling Hardware Nondeterminism | 0:00 | 34 | |
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| 2026-01-26 | How Much Do Language Models Memorize? | 0:00 | 80 | |
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| 2026-01-26 | Chasing the Constants and its Implications in Differential Privacy | 0:00 | 30 | |
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| 2026-01-26 | Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data? | 0:00 | 33 | |
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| 2026-01-26 | Differentially Private Prototypes for Imbalanced Transfer Learning | 0:00 | 92 | |
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| 2026-01-26 | Continual Release Moment Estimation with Differential Privacy | 0:00 | 29 | |
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| 2025-10-27 | Streaming Attention Approximation via Discrepancy Theory | 0:00 | 751 | |
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| 2025-08-18 | Is Learning Effective in Dynamic Strategic Interactions? Evidence from Stackelberg Games | 0:00 | 577 | |
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| 2025-08-18 | Algorithmic Contract Design | 0:00 | 757 | |
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| 2025-04-15 | Online Learning and Economics | 0:00 | 588 | |
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| 2025-04-15 | Go Meetup April 2025 - i18n Go Experiment | 0:00 | 818 | |
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| 2025-04-15 | Go Meetup April 2025 - Whats New in Go 1.24? | 0:00 | 624 | |
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| 2025-04-15 | Go Meetup April 2025 - Git Bisect and Go Size Analyzer | 0:00 | 271 | |
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| 2025-04-15 | Go Meetup April 2025 - Photobooth | 0:00 | 388 | |
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| 2025-04-15 | Go Meetup April 2025 - Go Protobuf | 0:00 | 918 | |
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| 2025-02-24 | Understanding LLMs Like Physicists: Observation, Hypothesis, Experimentation, and Prediction | 0:00 | 1,527 | |
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| 2025-02-11 | Theoretical Limitations of Multi layer Transformers | 0:00 | 1,305 | |
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| 2025-01-29 | Hash Functions: Bridging the Gap from Theory to Practice | 0:00 | 1,207 | |
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| 2025-01-14 | LLM Dataset Inference: Did you train on my dataset? | 0:00 | 1,545 | |
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| 2024-12-10 | Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty | 0:00 | 1,052 | |
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| 2024-11-22 | AI Snake Oil | 0:00 | 2,298 | |
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| 2024-08-15 | How I Wrote 10K Lines of Go in a Weekend | 0:00 | 2,561 | |
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| 2024-08-15 | Supply Chain Security with Go | 0:00 | 1,261 | |
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| 2024-07-30 | A Multi Dimensional Online Contention Resolution Scheme | 0:00 | 621 | |
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| 2024-07-09 | Robust Distortion-free Watermarks for Language Models | 54:11 | 1,284 | |
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| 2024-07-02 | Is it possible to make self-adjusting data structures concurrent? | 48:21 | 1,230 | |
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| 2024-06-21 | Privacy Preserving ML with Fully Homomorphic Encryption | 56:57 | 2,020 | |
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| 2024-06-21 | The Chinese Computer: A Global History of the Information Age | 1:10:27 | 1,212 | Guide |
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| 2024-06-15 | KAN: Kolmogorov-Arnold Networks | 52:18 | 11,896 | |
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| 2024-05-27 | Learning through Transient Matching in Congested Markets | 43:44 | 685 | |
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| 2024-05-23 | What Makes Software Work? | 58:51 | 2,518 | |
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| 2024-05-20 | Algorithms and Hardness for Attention and Kernel Density Estimation | 1:00:37 | 532 | |
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| 2024-05-20 | A Unified Analysis of Label Inference Attacks | 40:39 | 364 | |
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| 2024-05-20 | Can LLMs Keep a Secret? Testing Privacy Implications of Language Models | 41:46 | 335 | |
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| 2024-05-20 | Copyright Regenerated: Harnessing GenAI to Measure Originality and Copyright Scope | 34:36 | 263 | |
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| 2024-05-20 | Challenges in Augmenting Large Language Models with Private Data | 58:15 | 875 | |
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| 2024-05-20 | Oblivious RAM: From Theory to Large-scale Real-world Deployment | 46:40 | 386 | |
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| 2024-05-20 | Low Cost High Power Membership Inference Attacks | 40:43 | 282 | |
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| 2024-05-20 | The Data Minimization Principle in Machine Learning | 58:30 | 452 | |
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| 2024-04-22 | Design is Testability | 1:11:46 | 1,438 | |
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| 2024-04-12 | Charles Hoskinson | CEO of Input Output Global | web3 talks | Apr 4th 2024 | MC: Marlon Ruiz | 44:17 | 8,901 | |
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| 2024-04-09 | Limitations of Stochastic Selection with Pairwise Independent Priors | 1:06:13 | 452 | |
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| 2024-04-02 | NASA CARA - Air Traffic Control in Spaaaaaaaace | 1:07:52 | 789 | |
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| 2024-03-28 | How Your Brain Processes Code | 1:12:03 | 2,355 | |
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| 2024-03-25 | Fixed-point Error Bounds for Mean-payoff Markov Decision Processes | 57:54 | 481 | |
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| 2024-03-19 | One Tree to Rule Them All: Polylogarithmic Universal Steiner Trees | 56:54 | 1,047 | Vlog |
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| 2024-01-26 | Understanding Oversmoothing in Graph Neural Networks (GNNs): Insights from Two Theoretical Studies | 59:46 | 1,024 | |
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| 2023-12-05 | Socially Responsible Software Development (Teaching Software Design Systematically) | 1:02:12 | 1,185 | |
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| 2023-12-04 | Understanding and Mitigating Copying in Diffusion Models | 57:02 | 893 | |
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| 2023-12-04 | Efficient Training Image Extraction from Diffusion Models Ryan Webs | 34:38 | 890 | |
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| 2023-11-30 | High-Dimensional Prediction for Sequential Decision Making | 49:05 | 550 | |
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| 2023-09-01 | Representational Strengths and Limitations of Transformers | 58:01 | 1,687 | |
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| 2023-09-01 | Steven Goldfeder | CEO Offchain Labs / Arbitrum | web3 talks | Aug 24 2023 | MC: Marlon Ruiz | 40:35 | 1,076 | |
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| 2023-08-29 | Differentially Private Sampling from Distributions | 44:48 | 672 | |
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| 2023-07-14 | Revisiting Nearest Neighbors from a Sparse Signal Approximation View | 50:09 | 1,161 | |
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| 2023-07-04 | 2023 Blockly Developer Summit DAY 1-7: Cubi - Extending Blockly for Teachers | 19:34 | 260 | |
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| 2023-07-04 | 2023 Blockly Developer Summit DAY 1-12: Serialization and Visual Diff | 14:48 | 181 | |
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| 2023-07-04 | 2023 Blockly Developer Summit Day 2-5: Plug-ins Demonstration | 17:16 | 522 | |
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| 2023-07-04 | 2023 Blockly Developer Summit Day 2-2: Blockly Themes for Accessibility | 18:27 | 231 | |
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| 2023-07-04 | 2023 Blockly Developer Summit DAY 1-14: BlocksCAD - Math + Coding + Design | 19:20 | 252 | |
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| 2023-07-04 | 2023 Blockly Developer Summit DAY 1-5: The Future of Computational Thinking | 14:25 | 354 | |
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| 2023-07-04 | 2023 Blockly Developer Summit Day 2-3: Revisiting Performance in Blockly | 12:44 | 133 | |
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| 2023-07-04 | 2023 Blockly Developer Summit DAY 1-11: Performance | 7:28 | 254 | |
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| 2023-07-04 | 2023 Blockly Developer Summit Day 2-11: Onboarding New Users | 11:03 | 75 | |
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| 2023-07-04 | 2023 Blockly Developer Summit Day 1-2 Year in Review and Roadmap | 20:11 | 250 | Review |
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| 2023-07-04 | 2023 Blockly Developers Summit DAY 1-3: Generators | 13:47 | 465 | |
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| 2023-07-04 | 2023 Blockly Developers Summit Day 1-1: Welcome | 5:17 | 365 | |
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| 2023-07-04 | 2023 Blockly Developer Summit Day 1-8: Blocks in Docs | 18:11 | 77 | |
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| 2023-07-04 | 2023 Blockly Developer Summit Day 2-9: Scratch Guiding Principles & Creative Learning | 12:46 | 53 | |
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| 2023-07-04 | 2023 Blockly Developer Summit Day 2-14: Text to Blocks to Text with Layout | 12:58 | 59 | |
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| 2023-07-04 | 2023 Blockly Developer Summit Day 2-16: Curriculum Development Panel Discussion | 1:02:19 | 60 | Discussion |
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| 2023-07-04 | 2023 Blockly Developer Summit DAY 1-6: Generative Block Programming in MIT App Inventor | 16:39 | 212 | |
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| 2023-07-04 | 2023 Blockly Developer Summit DAY 1-4: Generators - Past Present and Future | 12:04 | 87 | |
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| 2023-07-04 | 2023 Blockly Developer Summit Day 2-4: Parsing with Visitor Pattern | 13:17 | 174 | |
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| 2023-07-04 | 2023 Blockly Developer Summit DAY 1-9: Engineering Block-based Languages | 20:18 | 141 | |
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| 2023-07-04 | 2023 Blockly Developer Summit Day 2-7: How to Convince Teachers to Teach Coding | 10:17 | 60 | |
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| 2023-07-04 | 2023 Blockly Developer Summit Day 2-8: Active STEM with Unruly Splats | 21:28 | 79 | |
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| 2023-07-04 | 2023 Blockly Developer Summit DAY 1-10: Multi Select Plugin | 10:41 | 243 | |
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