On the Adversarial Robustness of Quantized Neural Networks

1 May 2021

Papers citing "On the Adversarial Robustness of Quantized Neural Networks"

7 / 7 papers shown

Title
QGen: On the Ability to Generalize in Quantization Aware Training Mohammadhossein Askarihemmat Ahmadreza Jeddi Reyhane Askari Hemmat Ivan Lazarevich Alexander Hoffman Sudhakar Sah Ehsan Saboori Yvon Savaria Jean-Pierre David MQ 99 1 0 17 Apr 2024
David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge Miguel Costa Sandro Pinto AAML 83 0 0 08 Apr 2024
Pruning for Protection: Increasing Jailbreak Resistance in Aligned LLMs Without Fine-Tuning Adib Hasan Ileana Rugina Alex Wang AAML 96 24 0 19 Jan 2024
Sense, Predict, Adapt, Repeat: A Blueprint for Design of New Adaptive AI-Centric Sensing Systems S. Hor Amin Arbabian 64 2 0 11 Dec 2023
Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence Svetlana Pavlitska Hannes Grolig J. Marius Zöllner AAML 138 3 0 27 Nov 2023
Uncovering the Hidden Cost of Model Compression Diganta Misra Muawiz Chaudhary Agam Goyal Bharat Runwal Pin-Yu Chen VLM 93 0 0 29 Aug 2023
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks Ferheen Ayaz Idris Zakariyya José Cano S. Keoh Jeremy Singer D. Pau Mounia Kharbouche-Harrari 60 6 0 25 Apr 2023