A survey on adversarial attacks and defences von Chakraborty, Anirban, Alam, Manaar, Dey, Vishal, Chattopadhyay, Anupam, Mukhopadhyay, Debdeep

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Learn from Your Faults: Leakage Assessment in Fault Attacks Using Deep Learning von Saha, Sayandeep, Alam, Manaar, Bag, Arnab, Mukhopadhyay, Debdeep, Dasgupta, Pallab

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RASSLE: Return Address Stack based Side-channel LEakage von Chakraborty, Anirban, Bhattacharya, Sarani, Alam, Manaar, Patranabis, Sikhar, Mukhopadhyay, Debdeep

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Improving accuracy of HPC-based malware classification for embedded platforms using gradient descent optimization von Alam, Manaar, Mukhopadhyay, Debdeep, Kadiyala, Sai Praveen, Lam, Siew-Kei, Srikanthan, Thambipillai

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On the Instability of Softmax Attention-based Deep Learning Models in Side-channel Analysis von Hajra, Suvadeep, Alam, Manaar, Saha, Sayandeep, Picek, Stjepan, Mukhopadhyay, Debdeep

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Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning von Alam, Manaar, Lamri, Hithem, Maniatakos, Michail

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Birds of the Same Feather Flock Together: A Dual-Mode Circuit Candidate for Strong PUF-TRNG Functionalities von Pratihar, Kuheli, Chatterjee, Urbi, Alam, Manaar, Chakraborty, Rajat Subhra, Mukhopadhyay, Debdeep

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Victims Can Be Saviors: A Machine Learning-based Detection for Micro-Architectural Side-Channel Attacks von Alam, Manaar, Bhattacharya, Sarani, Mukhopadhyay, Debdeep

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Exploring Bitslicing Architectures for Enabling FHE-assisted Machine Learning von Sinha, Soumik, Saha, Sayandeep, Alam, Manaar, Agarwal, Varun, Chatterjee, Ayantika, Mishra, Anoop, Khazanchi, Deepak, Mukhopadhyay, Debdeep

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NN-Lock: A Lightweight Authorization to Prevent IP Threats of Deep Learning Models von Alam, Manaar, Saha, Sayandeep, Mukhopadhyay, Debdeep, Kundu, Sandip

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Whispering MLaaS: Exploiting Timing Channels to Compromise User Privacy in Deep Neural Networks von Shukla, Shubhi, Alam, Manaar, Bhattacharya, Sarani, Mitra, Pabitra, Mukhopadhyay, Debdeep

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Whispering MLaaS von Shubhi Shukla, Manaar Alam, Sarani Bhattacharya, Pabitra Mitra, Debdeep Mukhopadhyay

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Neural Network-based Inherently Fault-tolerant Hardware Cryptographic Primitives without Explicit Redundancy Checks von Alam, Manaar, Bag, Arnab, Roy, Debapriya Basu, Jap, Dirmanto, Breier, Jakub, Bhasin, Shivam, Mukhopadhyay, Debdeep

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Hello? Is There Anybody in There?'' Leakage Assessment of Differential Privacy Mechanisms in Smart Metering Infrastructure von Ghosh, Soumyadyuti, Alam, Manaar, Dey, Soumyajit, Mukhopadhyay, Debdeep

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LAMBDA: Lightweight Assessment of Malware for emBeddeD Architectures von Kadiyala, Sai Praveen, Alam, Manaar, Shrivastava, Yash, Patranabis, Sikhar, Bin Abbas, Muhamed Fauzi, Biswas, Arnab Kumar, Mukhopadhyay, Debdeep, Srikanthan, Thambipillai

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IPA: an Instruction Profiling–Based Micro-architectural Side-Channel Attack on Block Ciphers von Alam, Manaar, Bhattacharya, Sarani, Sinha, Sayan, Rebeiro, Chester, Mukhopadhyay, Debdeep

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A Good Anvil Fears No Hammer: Automated Rowhammer Detection Using Unsupervised Deep Learning von Chakraborty, Anirban, Alam, Manaar, Mukhopadhyay, Debdeep

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TransNet: Shift Invariant Transformer Network for Side Channel Analysis von Hajra, Suvadeep, Saha, Sayandeep, Alam, Manaar, Mukhopadhyay, Debdeep

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Customized Instructions for Protection Against Memory Integrity Attacks von Basu Roy, Debapriya, Alam, Manaar, Bhattacharya, Sarani, Govindan, Vidya, Regazzoni, Francesco, Chakraborty, Rajat Subhra, Mukhopadhyay, Debdeep

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In-situ Extraction of Randomness from Computer Architecture Through Hardware Performance Counters von Alam, Manaar, Singh, Astikey, Bhattacharya, Sarani, Pratihar, Kuheli, Mukhopadhyay, Debdeep

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