activity
20212026
most citedPREFENDER: A Prefetching Defender against Cache Side Channel Attacks as A Pretender

5 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.ET2026

SAAP: An Efficient Spatial-Aware Analytic Partitioning Algorithm of VLSI Netlists for Parallel Routing

Chen Liu, Hongxin Kong, Lang Feng +2

As VLSI designs grow in complexity, partitioning is widely adopted to accelerate physical design through parallel computing. However, traditional hypergraph partitioning methods of…

cs.CR2026

Towards Secure and Efficient DNN Accelerators via Hardware-Software Co-Design

Wei Xuan, Zihao Xuan, Rongliang Fu +8

The rapid deployment of deep neural network (DNN) accelerators in safety-critical domains such as autonomous vehicles, healthcare systems, and financial infrastructure necessitates…

cs.AR2025

SeDA: Secure and Efficient DNN Accelerators with Hardware/Software Synergy

Wei Xuan, Zhongrui Wang, Lang Feng +6

Ensuring the confidentiality and integrity of DNN accelerators is paramount across various scenarios spanning autonomous driving, healthcare, and finance. However, current security…

cs.OH2025

A High Efficient and Scalable Obstacle-Avoiding VLSI Global Routing Flow

Junhao Guo, Hongxin Kong, Lang Feng

Routing is a crucial step in the VLSI design flow. With the advancement of manufacturing technologies, more constraints have emerged in design rules, particularly regarding obstacl…

cs.AR2023★ 5 cited

PREFENDER: A Prefetching Defender against Cache Side Channel Attacks as A Pretender

Luyi Li, Jiayi Huang, Lang Feng +1

Cache side channel attacks are increasingly alarming in modern processors due to the recent emergence of Spectre and Meltdown attacks. A typical attack performs intentional cache a…

cs.AR2021★ 1 cited

Toward Taming the Overhead Monster for Data-Flow Integrity

Lang Feng, Jiayi Huang, Jeff Huang +1

Data-Flow Integrity (DFI) is a well-known approach to effectively detecting a wide range of software attacks. However, its real-world application has been quite limited so far beca…