Hassani, Hamed

FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization

Reisizadeh, A., Mokhtari, A., Hassani, H., Jadbabaie, A., & Pedarsani, R. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 587

Jailbreaking Black Box Large Language Models in Twenty Queries

Chao, P., Robey, A., Dobriban, E., Hassani, H., Pappas, G. J., & Wong, E. (2023) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 522

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Chao, P., Debenedetti, E., Robey, A., Andriushchenko, M., Croce, F., Sehwag, V., Dobriban, E., Flammarion, N., Pappas, G., Tramèr, F., et al. (2024) · Advances in Neural Information Processing Systems 37

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 116

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Chao, P., Debenedetti, E., Robey, A., Andriushchenko, M., Croce, F., Sehwag, V., Dobriban, E., Flammarion, N., Pappas, G. J., Tramer, F., et al. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 116

Robust and communication-efficient collaborative learning

Reisizadeh, A., Taheri, H., Mokhtari, A., Hassani, H., & Pedarsani, R. (2019) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 73

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

Robey, A., Wong, E., Hassani, H., & Pappas, G. J. (2023) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 37