Hacking Policy and Policy Hacking - A Hacker Guide to the Universe of Cyber Policy
Explore the evolving landscape of cybersecurity policy, its impact on the industry, and opportunities for hackers to influence regulations. Learn about global trends, case studies, and tools for effective policy engagement.
Stop Committing Your Secrets - Git Hooks To The Rescue
Learn to prevent accidental secret commits using Git hooks, enhancing code security and safeguarding sensitive information before it reaches remote repositories.
Hiring and Interviewing as Security Engineers
Insights on reducing bias in security hiring and maximizing interviews for various roles, drawing from a decade of global experience across major tech companies and startups.
Cross Site Scripting 101
Beginner-friendly introduction to Cross-Site Scripting (XSS) in web application security, including an overview and walkthrough of a basic XSS challenge from BSidesSF CTF.
Gamify Security Best Practices to Scalably Improve Engineering Culture
Discover how gamification of security best practices can enhance engineering culture and improve security observability, based on Chime's successful implementation strategy.
Using an mTLS Identity Provider to Achieve Password-less Auth, Device Health Attestation, and Low Earth Orbit
Explore Pinterest's innovative approach to secure authentication using mTLS, device health attestation, and a custom identity provider for password-less access and enhanced security.
Community Cyber Defense - How to be a Local Cyber Hero
Discover how to protect local organizations from cyber threats through volunteer efforts and become a community cyber hero.
StarryNet - Empowering Researchers to Evaluate Futuristic Integrated Space and Terrestrial Networks
Explore futuristic integrated space-terrestrial networks with StarryNet, a framework enabling realistic and flexible experiments to evaluate global satellite dynamics and network behaviors.
SkyPilot - An Intercloud Broker for Sky Computing
Intercloud broker enabling seamless workload migration between clouds, creating a unified Sky Computing ecosystem for enhanced data compliance and protection against outages.
Invisinets - Removing Networking from Cloud Networks
Proposes a simplified cloud network interface that reduces tenant complexity by 80-90%, shifting network management responsibilities to cloud providers while maintaining scalability and security.
Zeus - Understanding and Optimizing GPU Energy Consumption of DNN Training
Explores tradeoffs between energy consumption and performance in DNN training, proposing Zeus framework to optimize configurations for improved energy efficiency without compromising performance.
Bamboo - Making Preemptible Instances Resilient for Affordable Training of Large DNNs
Innovative system for cost-effective training of large DNNs using preemptible instances, introducing redundant computations to enhance resilience and efficiency in distributed learning environments.
Arya - Arbitrary Graph Pattern Mining with Decomposition-based Sampling
Innovative graph pattern mining system combining decomposition theory and edge sampling for efficient processing of massive graphs, outperforming existing solutions by orders of magnitude.
FLASH - Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning
Innovative hardware acceleration architecture for cross-silo federated learning, enhancing performance and resource utilization of cryptographic operations while preserving data privacy.
Hostping - Diagnosing Intra-host Network Bottlenecks in RDMA Servers
Introduces Hostping, a system for monitoring and diagnosing intra-host network bottlenecks in RDMA servers, addressing performance issues in high-speed networks through innovative loopback testing techniques.
Skyplane - Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays
Optimizes cloud data transfers across regions and providers using network overlays, balancing cost and performance. Outperforms existing services by up to 5x through intelligent path selection and resource allocation.
Shockwave - Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning
Efficient cluster scheduling system for dynamic adaptation in ML training, optimizing fairness and efficiency through market theory and stochastic dynamic programming.
TACCL - Guiding Collective Algorithm Synthesis Using Communication Sketches
Innovative tool for synthesizing efficient communication algorithms in multi-GPU machine learning, outperforming NCCL and accelerating model training across various hardware configurations.
ModelKeeper - Accelerating DNN Training via Automated Training Warmup
Accelerate DNN training by repurposing previously-trained models. Identify architectural similarities, select parent models, and perform structure-aware weight transformation for faster training completion without accuracy loss.
The Benefit of Hindsight - Tracing Edge-Cases in Distributed Systems
Innovative distributed tracing system for efficiently capturing edge-case issues in large-scale systems, offering low-overhead monitoring and retroactive sampling for precise problem diagnosis.
CausalSim - A Causal Framework for Unbiased Trace-Driven Simulation
Innovative framework for unbiased trace-driven simulation, addressing biases in current methods. Learn about CausalSim's causal model approach and its significant improvements in simulation accuracy for various applications.