| 2024 | Uncovering Software-Based Power Side-Channel Attacks on Apple M1/M2 Systems. | Nikhil Chawla, Chen Liu, Abhishek Chakraborty, Igor Chervatyuk, Thais Moreira Hamasaki, Ke Sun, Henrique Kawakami |
| 2024 | Defending against Adversarial Patches using Dimensionality Reduction. | Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique |
| 2024 | Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework. | Kaiyan Chang, Kun Wang, Nan Yang, Ying Wang, Dantong Jin, Wenlong Zhu, Zhirong Chen, Cangyuan Li, Hao Yan, Yunhao Zhou, Zhuoliang Zhao, Yuan Cheng, Yudong Pan, Yiqi Liu, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li |
| 2024 | Ink: Efficient Incremental k-Critical Path Generation. | Che Chang, Tsung-Wei Huang, Dian-Lun Lin, Guannan Guo, Shiju Lin |
| 2024 | ALVEARE: a Domain-Specific Framework for Regular Expressions. | Filippo Carloni, Davide Conficconi, Marco D. Santambrogio |
| 2024 | MTL-Split: Multi-Task Learning for Edge Devices using Split Computing. | Luigi Capogrosso, Enrico Fraccaroli, Samarjit Chakraborty, Franco Fummi, Marco Cristani |
| 2024 | Addition is Most You Need: Efficient Floating-Point SRAM Compute-in-Memory by Harnessing Mantissa Addition. | Weidong Cao, Jian Gao, Xin Xin, Xuan Zhang |
| 2024 | Multi-order Differential Neural Network for TCAD Simulation of the Semiconductor Devices. | Zifei Cai, Anaoxue Huang, Yifeng Xiong, Dejiang Mu, Xiangshui Miao, Xingsheng Wang |
| 2024 | Partially-Structured Transformer Pruning with Patch-Limited XOR-Gate Compression for Stall-Free Sparse-Model Access. | Younghoon Byun, Youngjoo Lee |
| 2024 | Late Breaking Results: A real-time diffusion-based filter for human pose estimation on edge devices. | Chiara Bozzini, Michele Boldo, Enrico Martini, Nicola Bombieri |
| 2024 | Towards High-Performance Virtual Platforms: A Parallelization Strategy for SystemC TLM-2.0 CPU Models. | Nils Bosbach, Niko Zurstraen, Rebecca Pelke, Lukas Jnger, Jan Henrik Weinstock, Rainer Leupers |
| 2024 | A Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems. | Francesco Giulio Blanco, Enrico Russo, Maurizio Palesi, Davide Patti, Giuseppe Ascia, Vincenzo Catania |
| 2024 | GNN-assisted Back-side Clock Routing Methodology for Advance Technologies. | Nesara Eranna Bethur, Pruek Vanna-Iampikul, Odysseas Zografos, Lingjun Zhu, Giuliano Sisto, Dragomir Milojevic, Alberto Garca Ortiz, Geert Hellings, Julien Ryckaert, Francky Catthoor, Sung Kyu Lim |
| 2024 | Invited: Using Causal Information to Enable More Efficient Robot Operation. | Semanti Basu, Semir Tatlidil, Moon Hwan Kim, Steven A. Sloman, R. Iris Bahar |
| 2024 | CSTrans-OPU: An FPGA-based Overlay Processor with Full Compilation for Transformer Networks via Sparsity Exploration. | Yueyin Bai, Keqing Zhao, Yang Liu, Hongji Wang, Hao Zhou, Xiaoxing Wu, Jun Yu, Kun Wang |
| 2024 | Unleashing the Potential of AQFP Logic Placement via Entanglement Entropy and Projection. | Yinuo Bai, Enxin Yi, Wei W. Xing, Bei Yu, Zhou Jin |
| 2024 | Unleashing the Power of T1-cells in SFQ Arithmetic Circuits. | Rassul Bairamkulov, Mingfei Yu, Giovanni De Micheli |
| 2024 | SecPaging: Secure Enclave Paging with Hardware-Enforced Protection against Controlled-Channel Attacks. | Yunkai Bai, Peinan Li, Yubiao Huang, Shiwen Wang, Xingbin Wang, Dan Meng, Rui Hou |
| 2024 | SWAT: Scalable and Efficient Window Attention-based Transformers Acceleration on FPGAs. | Zhenyu Bai, Pranav Dangi, Huize Li, Tulika Mitra |
| 2024 | VVIP: Versatile Vertical Indexing Processor for Edge Computing. | Hyungjoon Bae, Da Won Kim, Wanyeong Jung |
| 2024 | Late Breaking Results: TriSC: Low-Cost Design of Trigonometric Functions with Quasi Stochastic Computing. | Sercan Aygun, Mehran Shoushtari Moghadam, M. Hassan Najafi |
| 2024 | Advanced Reinforcement Learning Algorithms to Optimize Design Verification. | Zahra Aref, Rohit Suvarna, Bill Hughes, Sandeep Srinivasan, Narayan B. Mandayam |
| 2024 | Late Breaking Results: Differential and Massively Parallel Sampling of SAT Formulas. | Arash Ardakani, Minwoo Kang, Kevin He, Vighnesh M. Iyer, Suhong Moon, John Wawrzynek |
| 2024 | SGM-PINN: Sampling Graphical Models for Faster Training of Physics-Informed Neural Networks. | John Anticev, Ali Aghdaei, Wuxinlin Cheng, Zhuo Feng |
| 2024 | Conclave - Secure and Robust Cooperative Perception for Connected Autonomous Vehicle Using Authenticated Consensus and Trust Scoring. | Edward Andert, Francis Mendoza, Hans Walter Behrens, Aviral Shrivastava |