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Deepali Garg
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2020 – today
- 2024
- [c3]Joseph Sweeney, Deepali Garg, Lawrence T. Pileggi:
Quantifying the Efficacy of Logic Locking Methods. VLSID 2024: 541-546 - 2022
- [c2]Wei Song, Xuezixiang Li, Sadia Afroz, Deepali Garg, Dmitry Kuznetsov, Heng Yin
:
MAB-Malware: A Reinforcement Learning Framework for Blackbox Generation of Adversarial Malware. AsiaCCS 2022: 990-1003 - [i3]Elisaweta Masserova, Deepali Garg, Ken Mai, Lawrence T. Pileggi, Vipul Goyal, Bryan Parno:
Logic Locking - Connecting Theory and Practice. IACR Cryptol. ePrint Arch. 2022: 545 (2022) - 2021
- [i2]Joseph Sweeney, Deepali Garg, Lawrence T. Pileggi:
Quantifying the Efficacy of Logic Locking Methods. CoRR abs/2103.06990 (2021) - 2020
- [i1]Wei Song, Xuezixiang Li, Sadia Afroz, Deepali Garg, Dmitry Kuznetsov, Heng Yin:
Automatic Generation of Adversarial Examples for Interpreting Malware Classifiers. CoRR abs/2003.03100 (2020)
2010 – 2019
- 2019
- [c1]Deepak Kumar, Kelly Shen, Benton Case, Deepali Garg, Galina Alperovich, Dmitry Kuznetsov, Rajarshi Gupta, Zakir Durumeric:
All Things Considered: An Analysis of IoT Devices on Home Networks. USENIX Security Symposium 2019: 1169-1185
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last updated on 2024-08-05 20:23 CEST by the dblp team
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