Yashuo Wu, Carla-Fabiana Chiasserini, Francesco Malandrino, Marco Levorato: Invited Paper: Enhancing Privacy in Federated Learning via Early Exit. ApPLIED@PODC 2023: 10:1-10:5, June 19, 2023, Orlando, FL, USA
Zhihao Yao, Seyed Mohammadjavad Seyed Talebi, Mingyi Chen, Ardalan Amiri Sani, Thomas E. Anderson: Minimizing a Smartphone’s TCB for Security-Critical Programs with Exclusively-Used, Physically-Isolated, Statically-Partitioned Hardware. MobiSys 2023: 233-246, June 18-22, 2023, Helsinki, Finland
Rajat Bhattacharjya, Biswadip Maity, Nikil D. Dutt: Locate: Low-Power Viterbi Decoder Exploration using Approximate Adders. ACM Great Lakes Symposium on VLSI 2023: 409-413, June 5-7, 2023, Knoxville, TN, USA
Sercan Aygun, M. Hassan Najafi, Mohsen Imani, Ece Olcay Günes: Reconvergent Path-aware Simulation of Bit-stream Processing. ACM Great Lakes Symposium on VLSI 2023: 225-226, June 5-7, 2023, Knoxville, TN, USA
Mohsen Riahi Alam, M. Hassan Najafi, Nima TaheriNejad, Mohsen Imani, Lu Peng: Stochastic Computing for Reliable Memristive In-Memory Computation. ACM Great Lakes Symposium on VLSI 2023: 397-401, June 5-7, 2023, Knoxville, TN, USA
Sercan Aygun, M. Hassan Najafi, Mohsen Imani, Ece Olcay Günes: Bit-Stream Processing with No Bit-Stream: Efficient Software Simulation of Stochastic Vision Machines. ACM Great Lakes Symposium on VLSI 2023: 273-279, June 5-7, 2023, Knoxville, TN, USA
Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani: Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing. ACM Great Lakes Symposium on VLSI 2023: 449-453, June 5-7, 2023, Knoxville, TN, USA
Hadi Noureddine, Omar Bekdache, Mohamad Al Tawil, Rouwaida Kanj, Ali Chehab, Mohammed E. Fouda, Ahmed M. Eltawil: High-Density FeFET-based CAM Cell Design Via Multi-Dimensional Encoding. ACM Great Lakes Symposium on VLSI 2023: 403-407, June 5-7, 2023, Knoxville, TN, USA
Mohanad Odema, James Ferlez, Goli Vaisi, Yasser Shoukry, Mohammad Abdullah Al Faruque: EnergyShield: Provably-Safe Offloading of Neural Network Controllers for Energy Efficiency. ICCPS 2023: 187-198, May 9-12, 2023, San Antonio, TX, USA
Wael Fatnassi, Haitham Khedr, Valen Yamamoto, Yasser Shoukry: BERN-NN: Tight Bound Propagation For Neural Networks Using Bernstein Polynomial Interval Arithmetic. HSCC 2023: 19:1-19:11, May 9-12, 2023, San Antonio, TX, USA
Yanan Guo, Takami Sato, Yulong Cao, Qi Alfred Chen, Yueqiang Cheng: Adversarial Attacks on Adaptive Cruise Control Systems. CPS-IoT Week Workshops 2023: 49-54, May 9-12, 2023, San Antonio, TX, USA
Mojtaba Taherisadr, Stelios Andrew Stavroulakis, Salma Elmalaki: adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential Decision Making Human-in-the-Loop Systems. IoTDI 2023: 262-274, May 9-12, 2023, San Antonio, TX, USA
Junchen Zhao, Yurun Song, Junlin Wang, Ian G. Harris: GAP-Gen: Guided Automatic Python Code Generation. EACL (Student Research Workshop) 2023: 37-51, May 2-4, 2023, Dubrovnik, Croatia
Haoran Pu, Ahmad Reza Danesh, Mahyar Safiallah, Jeffrey Lim, An H. Do, Zoran Nenadic, Payam Heydari: A CMOS BD-BCI Incorporating Stimulation with Dual-Mode Charge Balancing and Time-Domain Pipelined Recording. CICC 2023: 1-2, April 23-26, 2023, San Antonio, TX, USA
Halima Bouzidi, Mohanad Odema, Hamza Ouarnoughi, Mohammad Abdullah Al Faruque, Smaïl Niar: HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance Scaling. DATE 2023: 1-6, April 17-19, 2023, Antwerp, Belgium
Nora Sperling, Alex Bendrick, Dominik Stöhrmann, Rolf Ernst, Bryan Donyanavard, Florian Maurer, Oliver Lenke, Anmol Surhonne, Andreas Herkersdorf, Walaa Amer, Caio Batista de Melo, Ping-Xiang Chen, Quang Anh Hoang, Rachid Karami, Biswadip Maity, Paul Nikolian, Mariam Rakka, Dongjoo Seo, Saehanseul Yi, Minjun Seo, Nikil D. Dutt, Fadi J. Kurdahi: Information Processing Factory 2.0 – Self-awareness for Autonomous Collaborative Systems. DATE 2023: 1-6, April 17-19, 2023, Antwerp, Belgium
Lukas Esterle, Nikil D. Dutt, Christian Gruhl, Peter R. Lewis, Lucio Marcenaro, Carlo S. Regazzoni, Axel Jantsch: Self-awareness in Cyber-Physical Systems: Recent Developments and Open Challenges. DATE 2023: 1-6, April 17-19, 2023, Antwerp, Belgium
Hamza Errahmouni Barkam, SungHeon Eavn Jeon, Calvin Yeung, Zhuowen Zou, Xun Jiao, Mohsen Imani: Comprehensive Analysis of Hyperdimensional Computing Against Gradient Based Attacks. DATE 2023: 1-2, April 17-19, 2023, Antwerp, Belgium
Sercan Aygun, M. Hassan Najafi, Mohsen Imani: A Linear-Time, Optimization-Free, and Edge Device-Compatible Hypervector Encoding. DATE 2023: 1-2, April 17-19, 2023, Antwerp, Belgium
Hamza Errahmouni Barkam, Sanggeon Yun, Paul R. Genssler, Zhuowen Zou, Che-Kai Liu, Hussam Amrouch, Mohsen Imani: HDGIM: Hyperdimensional Genome Sequence Matching on Unreliable highly scaled FeFET. DATE 2023: 1-6, April 17-19, 2023, Antwerp, Belgium
Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim: Efficient Hyperdimensional Learning with Trainable, Quantizable, and Holistic Data Representation. DATE 2023: 1-6, April 17-19, 2023, Antwerp, Belgium
Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago Masagué: Design Factors of Maestro: A Serious Game for Robust AI Education. SIGCSE (2) 2023: 1318, March 15-18, 2023, Toronto, Canada
Xiang Li, Baojun Liu, Xuesong Bai, Mingming Zhang, Qifan Zhang, Zhou Li, Haixin Duan, Qi Li: Ghost Domain Reloaded: Vulnerable Links in Domain Name Delegation and Revocation. NDSS 2023, February 27 – March 3, 2023, San Diego, CA, USA
Jie Wu, Ian G. Harris, Hongzhi Zhao, Guangming Ling: A Graph-to-Sequence Model for Joint Intent Detection and Slot Filling. ICSC 2023: 131-138, February 1-3, Laguna Hills, CA, USA
Anas Alsoliman, Forough Shirin Abkenar, Marco Levorato: State-Recovery Protocol for URLLC Applications in 5G Systems. WiSNeT 2023: 20-23, January 22-25, 2023, Las Vegas, NV, USA
Hussam Amrouch, Paul R. Genssler, Mohsen Imani, Mariam Issa, Xun Jiao, Wegdan Mohammad, Gloria Sepanta, Ruixuan Wang: Beyond von Neumann Era: Brain-Inspired Hyperdimensional Computing to the Rescue. ASP-DAC 2023: 553-560, January 16-19, 2023, Tokyo, Japan
Nitish Nagesh, Iman Azimi, Tom Andriola, Amir M. Rahmani, Ramesh C. Jain: Towards Deep Personal Lifestyle Models Using Multimodal N-of-1 Data. MMM (1) 2023: 589-600, January 9-12, 2023, Bergen, Norway
Asmaa Abdallah, Abdulkadir Celik, Mohammad M. Mansour, Ahmed M. Eltawil: Deep Reinforcement Learning Based Beamforming Codebook Design for RIS-aided mmWave Systems. CCNC 2023: 1020-1026, January 8-11, 2023, Las Vegas, NV, USA