595 citations · 1.9k across the 91 of their papers we have counts for
98 papers
Inference-Engine Fingerprinting Attacks are Practical: Exploring Model-Driven Environmental Discovery, Exploitation, and Escape
Sarah Radway, Andrew Cheng, Vijay Janapa Reddi +1
Frontier AI models are rapidly gaining the ability to exploit vulnerabilities in complex pieces of software. The risk is not theoretical, as evidenced by recent sandbox escapes per…
Rethinking Heterogeneous System Disaggregation for Subquadratic Attention
Arya Tschand, Yaosheng Fu, Vikram Sharma Mailthody +6
Frontier language models are more aggressively using subquadratic attention to reduce the memory footprint and compute requirements during inference while still delivering frontier…
Affective Agent: On-Device Personalized Intervention Reasoning for Wearable Systems
Reina Mun, Zishen Wan, Vijay Janapa Reddi
Affective computing has advanced wearable state inference, but on-device reasoning about whether, when, and how to intervene remains challenging. We present Affective Agent, a thre…
ArchEval: Measuring AI Agents as Computer Architects
Chenyu Wang, Zishen Wan, Jeffrey Ma +8
Computer architecture has long used benchmarks to make progress measurable. LLM agents create a different measurement problem: success is not merely writing code or tuning paramete…
JAXBench: Benchmarking Autonomous TPU Kernel Optimization
Arya Tschand, Charles Hong, Julian Walker +7
Rigorous benchmarks have driven progress in autonomous GPU kernel performance optimization by establishing a shared target to hillclimb on, but no equivalent exists for TPUs. We pr…
MLSYSIM: First-Principles Infrastructure Modeling for Machine Learning Systems
Vijay Janapa Reddi
As machine learning shifts from laboratory curiosity to critical infrastructure, the systems that sustain it span an extraordinary range, from sub-milliwatt microcontrollers to mul…