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Author search results
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- Seyed Hamed Hassani
aka: S. Hamed Hassani, Hamed Hassani
University of Pennsylvania, USA
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Publication search results
found 300 matches
- 2024
- Mark Beliaev, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Efficient and Robust Classification for Sparse Attacks. IEEE J. Sel. Areas Inf. Theory 5: 261-272 (2024) - Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Binary Classification Under ℓ0 Attacks for General Noise Distribution. IEEE Trans. Inf. Theory 70(2): 1284-1299 (2024) - Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson:
Federated TD Learning with Linear Function Approximation under Environmental Heterogeneity. Trans. Mach. Learn. Res. 2024 (2024) - Aritra Mitra, George J. Pappas, Hamed Hassani:
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning. Trans. Mach. Learn. Res. 2024 (2024) - Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra:
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. AISTATS 2024: 2746-2754 - Arman Adibi, Aritra Mitra, Hamed Hassani:
Min-Max Optimization Under Delays. ACC 2024: 80-85 - Xinmeng Huang, Shuo Li, Mengxin Yu, Matteo Sesia, Hamed Hassani, Insup Lee, Osbert Bastani, Edgar Dobriban:
Uncertainty in Language Models: Assessment through Rank-Calibration. EMNLP 2024: 284-312 - Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher:
Adversarial Training Should Be Cast as a Non-Zero-Sum Game. ICLR 2024 - Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi, Aryan Mokhtari, Sanjay Shakkottai:
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks. ICML 2024 - Shayan Kiyani, George J. Pappas, Hamed Hassani:
Conformal Prediction with Learned Features. ICML 2024 - Kevin Kögler, Aleksandr Shevchenko, Hamed Hassani, Marco Mondelli:
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth. ICML 2024 - Behrad Moniri, Donghwan Lee, Hamed Hassani, Edgar Dobriban:
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks. ICML 2024 - Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Generalization Properties of Adversarial Training for 𝓁0-Bounded Adversarial Attacks. CoRR abs/2402.03576 (2024) - Kevin Kögler, Alexander Shevchenko, Hamed Hassani, Marco Mondelli:
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth. CoRR abs/2402.05013 (2024) - Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra:
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. CoRR abs/2402.11800 (2024) - Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong, Shiyu Chang:
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing. CoRR abs/2402.16192 (2024) - Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding. CoRR abs/2403.07320 (2024) - Yutong He, Alexander Robey, Naoki Murata, Yiding Jiang, Joshua Williams, George J. Pappas, Hamed Hassani, Yuki Mitsufuji, Ruslan Salakhutdinov, J. Zico Kolter:
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation. CoRR abs/2403.19103 (2024) - Patrick Chao, Edoardo Debenedetti, Alexander Robey, Maksym Andriushchenko, Francesco Croce, Vikash Sehwag, Edgar Dobriban, Nicolas Flammarion, George J. Pappas, Florian Tramèr, Hamed Hassani, Eric Wong:
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models. CoRR abs/2404.01318 (2024) - Xinmeng Huang, Shuo Li, Mengxin Yu, Matteo Sesia, Hamed Hassani, Insup Lee, Osbert Bastani, Edgar Dobriban:
Uncertainty in Language Models: Assessment through Rank-Calibration. CoRR abs/2404.03163 (2024) - Shayan Kiyani, George J. Pappas, Hamed Hassani:
Conformal Prediction with Learned Features. CoRR abs/2404.17487 (2024) - Behrad Moniri, Hamed Hassani:
Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models. CoRR abs/2405.18274 (2024) - Xinmeng Huang, Shuo Li, Edgar Dobriban, Osbert Bastani, Hamed Hassani, Dongsheng Ding:
One-Shot Safety Alignment for Large Language Models via Optimal Dualization. CoRR abs/2405.19544 (2024) - Mahdi Sabbaghi, George J. Pappas, Hamed Hassani, Surbhi Goel:
Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks. CoRR abs/2406.01895 (2024) - Patrick Chao, Edgar Dobriban, Hamed Hassani:
Watermarking Language Models with Error Correcting Codes. CoRR abs/2406.10281 (2024) - Behrad Moniri, Hamed Hassani, Edgar Dobriban:
Evaluating the Performance of Large Language Models via Debates. CoRR abs/2406.11044 (2024) - Shayan Kiyani, George J. Pappas, Hamed Hassani:
Length Optimization in Conformal Prediction. CoRR abs/2406.18814 (2024) - Hongyan Chang, Hamed Hassani, Reza Shokri:
Watermark Smoothing Attacks against Language Models. CoRR abs/2407.14206 (2024) - Alexander Robey, Zachary Ravichandran, Vijay Kumar, Hamed Hassani, George J. Pappas:
Jailbreaking LLM-Controlled Robots. CoRR abs/2410.13691 (2024) - Sima Noorani, Orlando Romero, Nicolò Dal Fabbro, Hamed Hassani, George J. Pappas:
Conformal Risk Minimization with Variance Reduction. CoRR abs/2411.01696 (2024)
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