Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Santu Rana

Santu Rana
Alert button

LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning


May 03, 2023
Kiran Purohit, Soumi Das, Sourangshu Bhattacharya, Santu Rana

Add code
Alert button

Figure 1 for LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning
Figure 2 for LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning
Figure 3 for LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning
Figure 4 for LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills


Mar 07, 2023
Maxence Hussonnois, Thommen George Karimpanal, Santu Rana

Add code
Alert button

Figure 1 for Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills
Figure 2 for Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills
Figure 3 for Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills
Figure 4 for Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills
* AAMAS 2023 
 * Accepted to AAMAS 2023 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

BO-Muse: A human expert and AI teaming framework for accelerated experimental design


Mar 03, 2023
Sunil Gupta, Alistair Shilton, Arun Kumar A V, Shannon Ryan, Majid Abdolshah, Hung Le, Santu Rana, Julian Berk, Mahad Rashid, Svetha Venkatesh

Add code
Alert button

Figure 1 for BO-Muse: A human expert and AI teaming framework for accelerated experimental design
Figure 2 for BO-Muse: A human expert and AI teaming framework for accelerated experimental design
Figure 3 for BO-Muse: A human expert and AI teaming framework for accelerated experimental design
Figure 4 for BO-Muse: A human expert and AI teaming framework for accelerated experimental design
* 34 Pages, 7 Figures and 5 Tables 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Zero-shot Sim2Real Adaptation Across Environments


Feb 08, 2023
Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh

Add code
Alert button

Figure 1 for Zero-shot Sim2Real Adaptation Across Environments
Figure 2 for Zero-shot Sim2Real Adaptation Across Environments
Figure 3 for Zero-shot Sim2Real Adaptation Across Environments
Figure 4 for Zero-shot Sim2Real Adaptation Across Environments

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Gradient Descent in Neural Networks as Sequential Learning in RKBS


Feb 01, 2023
Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh

Add code
Alert button

Figure 1 for Gradient Descent in Neural Networks as Sequential Learning in RKBS
Figure 2 for Gradient Descent in Neural Networks as Sequential Learning in RKBS
Figure 3 for Gradient Descent in Neural Networks as Sequential Learning in RKBS
Figure 4 for Gradient Descent in Neural Networks as Sequential Learning in RKBS

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation


Sep 21, 2022
Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh

Add code
Alert button

Figure 1 for Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation
Figure 2 for Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation
Figure 3 for Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation
Figure 4 for Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation
* Accepted to NeurIPS 2022 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Defense Against Multi-target Trojan Attacks


Jul 08, 2022
Haripriya Harikumar, Santu Rana, Kien Do, Sunil Gupta, Wei Zong, Willy Susilo, Svetha Venkastesh

Add code
Alert button

Figure 1 for Defense Against Multi-target Trojan Attacks
Figure 2 for Defense Against Multi-target Trojan Attacks
Figure 3 for Defense Against Multi-target Trojan Attacks
Figure 4 for Defense Against Multi-target Trojan Attacks

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Fast Conditional Network Compression Using Bayesian HyperNetworks


May 13, 2022
Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh

Add code
Alert button

Figure 1 for Fast Conditional Network Compression Using Bayesian HyperNetworks
Figure 2 for Fast Conditional Network Compression Using Bayesian HyperNetworks
Figure 3 for Fast Conditional Network Compression Using Bayesian HyperNetworks
Figure 4 for Fast Conditional Network Compression Using Bayesian HyperNetworks
* Published as a conference paper at ECML 2021 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization


Mar 15, 2022
Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh

Add code
Alert button

Figure 1 for Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
Figure 2 for Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
Figure 3 for Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
Figure 4 for Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
* AISTATS 2022 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Towards Effective and Robust Neural Trojan Defenses via Input Filtering


Mar 08, 2022
Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh

Add code
Alert button

Figure 1 for Towards Effective and Robust Neural Trojan Defenses via Input Filtering
Figure 2 for Towards Effective and Robust Neural Trojan Defenses via Input Filtering
Figure 3 for Towards Effective and Robust Neural Trojan Defenses via Input Filtering
Figure 4 for Towards Effective and Robust Neural Trojan Defenses via Input Filtering

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
4
5
6
>>