Latest Research in Hardware Architecture

99 research papers · 0.0 average citations · 2026 median publication year

Top Research Topics in Hardware Architecture

Highest-Cited Papers

  1. Model Inversion Attacks Through Target-Specific Conditional Diffusion Models (2 citations)
  2. Robustness in sparse artificial neural networks trained with adaptive topology
  3. DBLP: Noise bridge consistency distillation for efficient and reliable adversarial purification
  4. Information-Geometric Inverse Distillation for Enhancing Adversarial Transferability
  5. LLVM Translation Validation Automated with Large Language Models and Lean
  6. ECO: An LLM-Driven Efficient Code Optimizer for Warehouse Scale Computers
  7. Breaking the $T^{2/3}$ Barrier for Sequential Calibration
  8. VeriBugBench: An Empirically Grounded Framework for Constructing Verilog RTL Debugging Benchmarks
  9. Efficient Nash Equilibrium Computation for Cybersecurity Games
  10. Dual Randomized Smoothing: Beyond Global Noise Variance
  11. Rethinking LLM-aided RTL Code Optimization Via Timing Logic Metamorphosis
  12. SpecLens: LLM-Based Verilog Generation with Specification-Derived Constraints via Behavioral Divergence
  13. OPEN-1B: A Fully Auditable Training Run
  14. CovR: Coverage-Aware Hardware Verification via Reasoning-Guided Reinforcement Learning
  15. The Scissors Effect: When Resize-Based Input Diversity Helps or Hurts Transfer Attacks
  16. Beyond the Previous Layer: Residual Predictive Structure in Sparse MoE Routing
  17. Calibrate, Then Route: A Measured Study of Learned Request Routing for Disaggregated LLM Serving
  18. Ave: Guiding Agentic GPU Optimization Using Data-Flow Invariants
  19. Validating Hybrid-State Cache Recovery for GLM-5.3-Flash with vLLM and LMCache
  20. LLM-enabled Behavior Driven Development Workflow for Formally Verified Hardware Designs
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L3 Region - - 2026 Sep Q3

Hardware Architecture

99 papers

Top Topics (10)

Machine Learning22
Hardware Architecture13
Artificial Intelligence12
Distributed, Parallel, and Cluster Computing11
Computer Vision and Pattern Recognition7
Operating Systems4
Cryptography and Security4
Computation and Language4
Adversarial Robustness in Machine Learning2
Programming Languages2

Top Publications (20)

1.Model Inversion Attacks Through Target-Specific Conditional Diffusion Models2c2.Robustness in sparse artificial neural networks trained with adaptive topology3.DBLP: Noise bridge consistency distillation for efficient and reliable adversarial purification4.Information-Geometric Inverse Distillation for Enhancing Adversarial Transferability5.LLVM Translation Validation Automated with Large Language Models and Lean6.ECO: An LLM-Driven Efficient Code Optimizer for Warehouse Scale Computers7.Breaking the $T^{2/3}$ Barrier for Sequential Calibration8.VeriBugBench: An Empirically Grounded Framework for Constructing Verilog RTL Debugging Benchmarks9.Efficient Nash Equilibrium Computation for Cybersecurity Games10.Dual Randomized Smoothing: Beyond Global Noise Variance11.Rethinking LLM-aided RTL Code Optimization Via Timing Logic Metamorphosis12.SpecLens: LLM-Based Verilog Generation with Specification-Derived Constraints via Behavioral Divergence13.OPEN-1B: A Fully Auditable Training Run14.CovR: Coverage-Aware Hardware Verification via Reasoning-Guided Reinforcement Learning15.The Scissors Effect: When Resize-Based Input Diversity Helps or Hurts Transfer Attacks16.Beyond the Previous Layer: Residual Predictive Structure in Sparse MoE Routing17.Calibrate, Then Route: A Measured Study of Learned Request Routing for Disaggregated LLM Serving18.Ave: Guiding Agentic GPU Optimization Using Data-Flow Invariants19.Validating Hybrid-State Cache Recovery for GLM-5.3-Flash with vLLM and LMCache20.LLM-enabled Behavior Driven Development Workflow for Formally Verified Hardware Designs
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